Home
Search results “Database modeling articles”
Tech Talk: Cassandra Data Modeling
 
42:41
Don’t miss the next DataEngConf in Barcelona: https://dataeng.co/2O0ZUq7 Check out the full post here: http://www.hakkalabs.co/articles/cassandra-data-modeling-talk In this talk, Patrick McFadin (Chief Evangelist for Apache Cassandra, DataStax) breaks down topics like storing objects, indexing for fast retrieval, and the application life cycle. This talk was given at Cassandra Day Silicon Valley 2014.
Views: 51283 Hakka Labs
Information and Data Models Intro - Chapter 1
 
10:56
Introduction to Database Concepts and Data Modeling An information model in software engineering is a representation of concepts and the relationships, constraints, rules, and operations to specify data semantics for a chosen domain of discourse. Typically it specifies relations between kinds of things, but may also include relations with individual things. It can provide sharable, stable, and organized structure of information requirements or knowledge for the domain context. conceptual data model | data modeling | conceptual model | what is model | database models | what is a model | logic design | what is data modeling | logical data model | physical model | conceptual data model | relational data model | concept model | types of data models | data modeling techniques | physical data model | information model | data model definition | conceptual model definition | conceptual model examples | what is a data model | data modelling concepts | what is a conceptual model More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 1060 AO DBA
Types of Relationships in Data Modeling - Chapter 3
 
04:51
An information model in software engineering is a representation of concepts and the relationships, constraints, rules, and operations to specify data semantics for a chosen domain of discourse. Typically it specifies relations between kinds of things, but may also include relations with individual things. It can provide shareable, stable, and organized structure of information requirements or knowledge for the domain context. conceptual data model | data modeling | conceptual model | what is model | database models | what is a model | logic design | what is data modeling | logical data model | physical model | conceptual data model | relational data model | concept model | types of data models | data modeling techniques | physical data model | information model | data model definition | conceptual model definition | conceptual model examples | what is a data model | data modelling concepts | what is a conceptual model More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 1143 AO DBA
Relational Model Constraints - Chapter 6
 
08:50
Introduction to Database Concepts and Data Modeling An information model in software engineering is a representation of concepts and the relationships, constraints, rules, and operations to specify data semantics for a chosen domain of discourse. Typically it specifies relations between kinds of things, but may also include relations with individual things. It can provide sharable, stable, and organized structure of information requirements or knowledge for the domain context. conceptual data model | data modeling | conceptual model | what is model | database models | what is a model | logic design | what is data modeling | logical data model | physical model | conceptual data model | relational data model | concept model | types of data models | data modeling techniques | physical data model | information model | data model definition | conceptual model definition | conceptual model examples | what is a data model | data modelling concepts | what is a conceptual model More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 3578 AO DBA
Information and Data Models Intro - Chapter 1
 
05:25
An information model in software engineering is a representation of concepts and the relationships, constraints, rules, and operations to specify data semantics for a chosen domain of discourse. Typically it specifies relations between kinds of things, but may also include relations with individual things. It can provide shareable, stable, and organized structure of information requirements or knowledge for the domain context. conceptual data model | data modeling | conceptual model | what is model | database models | what is a model | logic design | what is data modeling | logical data model | physical model | conceptual data model | relational data model | concept model | types of data models | data modeling techniques | physical data model | information model | data model definition | conceptual model definition | conceptual model examples | what is a data model | data modelling concepts | what is a conceptual model More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 4954 AO DBA
Types of Relationships in Data Modeling - Chapter 3
 
09:49
Introduction to Database Concepts and Data Modeling An information model in software engineering is a representation of concepts and the relationships, constraints, rules, and operations to specify data semantics for a chosen domain of discourse. Typically it specifies relations between kinds of things, but may also include relations with individual things. It can provide sharable, stable, and organized structure of information requirements or knowledge for the domain context. conceptual data model | data modeling | conceptual model | what is model | database models | what is a model | logic design | what is data modeling | logical data model | physical model | conceptual data model | relational data model | concept model | types of data models | data modeling techniques | physical data model | information model | data model definition | conceptual model definition | conceptual model examples | what is a data model | data modelling concepts | what is a conceptual model More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 52 AO DBA
Top Modeling Jobs: Mastering the Basics of Modeling
 
03:42
Your Best Source for Modeling Education. Site: https://www.topmodelingjobs.com/ Blog: https://www.topmodelingjobs.com/blog/ Twitter: https://twitter.com/topmodelingjob Blog Post: https://www.topmodelingjobs.com/blog/39/mastering-the-basics-of-modeling/ Join Our 100% FREE Modeling Mini Course and Job Modeling Database: https://www.topmodelingjobs.com/ 1) Consider situational modeling. If you do not think the runway or magazines are the point for you, look into other types of modeling. Companies use models for specialized events or to publicize specific products. There are far fewer restrictions on body type and more emphasis on character for these types of modeling jobs. A Promotional Model. A handful of companies desire their user base to socialize straight with models who are completely appealing with amiable people to improve their brand. You may find these models in grocery stores, events, or clubs marketing points like food, liquor, or new items. A Spokesmodel. Spokesmodels are chosen to stay constantly based on a certain brand. Contrary to popular notion, spokesmodels dont generally have to verbally enhance the brand. A Trade Show Model. This type of model is hired by companies or brands to advertise to participants at a trade show tent or booth. These models are often not utilized by the company even so used as freelance models for the event. 2) Consider your look. The look that you speak can be created up of both your body type and your style. There is further of a curvy California look, a slim and advanced New York appear, a waif like European look, and a boy or girl next door look. Realize what you are outfitted with, but as well try to pull apart other looks. 3) Inform yourself concerning the market. Learn as much as you may from studying literature, Internet sites, and articles about modeling. Examining level of high-quality publications, articles, and literature will make you maximize crucial ability (like posing and posture) and much easier learn just how the world performs (such as just how to identify an agent). Also study trustworthy agencies that place models in high profile places, such as mags and fashion shows. 4) Be ready for a challenging road. The modeling world is jam loaded with pretty faces. Being good looking does not equate to success as a model. The modeling business is not only on the subject of looking great; you have to fit the need of specific jobs just to be able to get a chance. Modeling is just for dire people who bring individual looks and features. Since there are so many people trying to turn into models in modern world, its very complicated to get into the sector. Accomplishment will just come with perseverance and conviction. 5) Don't be shy. You should have to promote your self and seek chances to step up and show your possibilities. Standing back and being polite will not take you in the direction you are going. Be your self, allow your character shine, and have a confident character. If you do not feel convinced, fake it; modeling often necessitates acting skill as well!
Views: 35 Top Modeling Jobs
Data modeling
 
17:01
Data modeling in software engineering is the process of creating a data model for an information system by applying formal data modeling techniques. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 128 Audiopedia
Vertica Database Training Webinar Part 2
 
01:15:05
Vertica Database Training Webinar Part 2 More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 1890 AO DBA
MySQL Workbench Tutorial
 
13:48
A comprehensive MySQL Workbench tutorial video that shows how to best use the official MySQL GUI application. Subscribe to the MySQL Youtube channel and watch more tutorials and presentations: http://www.youtube.com/mysqlchannel Like the MySQL facebook page to receive latest updates on product releases, technical articles, upcoming events and more: http://facebook.com/mysql Follow MySQL on Twitter: http://twitter.com/mysql
Views: 980464 MySQL
An Introduction to Temporal Databases
 
50:09
Check out http://www.pgconf.us/2015/event/83/ for the full talk details. In the past manipulating temporal data was rather ad hoc and in the form of simple solutions. Today organizations strongly feel the need to support temporal data in a coherent way. Consequently, there is an increasing interest in temporal data and major database vendors recently provide tools for storing and manipulating temporal data. However, these tools are far from being complete in addressing the main issues in handling temporal data. The presentation uses the relational data model in addressing the subtle issues in managing temporal data: comparing database states at two different time points, capturing the periods for concurrent events and accessing to times beyond these periods, sequential semantics, handling multi-valued attributes, temporal grouping and coalescing, temporal integrity constraints, rolling the database to a past state and restructuring temporal data, etc. It also lays the foundation in managing temporal data in NoSQL databases as well. Having ranges as a data type PostgresSQL has a solid base in implementing a temporal database that can address many of these issues successfully. About the Speaker Abdullah Uz Tansel is professor of Computer Information Systems at the Zicklin School of Business at Baruch College and Computer Science PhD program at the Graduate Center. His research interests are database management systems, temporal databases, data mining, and semantic web. Dr. Tansel published many articles in the conferences and journals of ACM and IEEE. Dr. Tansel has a pending patent application on semantic web. Currently, he is researching temporality in RDF and OWL, which are semantic web languages. Dr. Tansel served in program committees of many conferences and headed the editorial board that published the first book on temporal databases in 1993. He is also one the editors of the forth coming book titled Recommendation and Search in Social Networks to be published by Springer. He received BS, MS and PhD degrees from the Middle East Technical University, Ankara Turkey. He also completed his MBA degree in the University of Southern California. Dr. Tansel is a member of ACM and IEEE Computer Society.
Views: 4313 Postgres Conference
Working With a Real-World Dataset in Neo4j: Import and Modelling
 
57:36
Mark Needham demonstrates how to work with a real-world dataset in Neo4j, with a focus on how to build a graph from an existing dataset.
Views: 2457 Neo4j
About the books Enterprise Model Patterns, and UML & Data Modeling
 
03:54
About Enterprise Model Patterns: In 1995, David Hay published Data Model Patterns: Conventions of Thought - the groundbreaking book on how to use standard data models to describe the standard business situations. Enterprise Model Patterns: Describing the World builds on the concepts presented there, adds 15 years of practical experience, and presents a more comprehensive view. You will learn how to apply both the abstract and concrete elements of your enterprise’s architectural data model through four levels of abstraction: Level 0: An abstract template that underlies the Level 1 model that follows, plus two meta models: • Information Resources. In addition to books, articles, and e-mail notes, it also includes photographs, videos, and sound recordings. • Accounting. Accounting is remarkable because it is itself a modeling language. It takes a very different approach than data modelers in that instead of using entities and entity classes that represent things in the world, it is concerned with accounts that represent bits of value to the organization. • Level 1: An enterprise model that is generic enough to apply to any company or government agency, but concrete enough to be readily understood by all. It describes: • People and Organization. Who is involved with the business? The people involved are not only the employees within the organization, but customers, agents, and others with whom the organization comes in contact. Organizations of interest include the enterprise itself and its own internal departments, as well as customers, competitors, government agencies, and the like. • Geographic Locations. Where is business conducted? A geographic location may be either a geographic area (defined as any bounded area on the Earth), a geographic point (used to identify a particular location), or, if you are an oil company for example, a geographic solid (such as an oil reserve). • Assets. What tangible items are used to carry out the business? These are any physical things that are manipulated, sometimes as products, but also as the means to producing products and services. • Activities. How is the business carried out? This model not only covers services offered, but also projects and any other kinds of activities. In addition, the model describes the events that cause activities to happen. • Time. All data is positioned in time, but some more than others. • Level 2: A more detailed model describing specific functional areas: • Facilities • Human Resources • Communications and Marketing • Contracts • Manufacturing • The Laboratory Level 3: Examples of the details a model can have to address what is truly unique in a particular industry. Here you see how to address the unique bits in areas as diverse as: • Criminal Justice. The model presented here is based on the “Global Justice XML Data Model” (GJXDM). • Microbiology • Banking. The model presented here is the result of working for four different banks and then adding some thought to come up with something different from what is currently in any of them. • Highways. The model here is derived from a project in a Canadian Provincial Highway Department, and addresses the question “what is a road?”
Views: 363 Steve Hoberman
Graph Data Modeling - Kenny Bastani
 
01:04:44
Don’t miss the next DataEngConf in Barcelona: https://dataeng.co/2O0ZUq7 Check out the full post at: http://www.hakkalabs.co/articles/graph-data-modeling Kenny Bastani (Developer Evangelist, Neo4j Graph Database) demonstrates how to build a flexible, expressive graph model. He also gives a demo of Cypher, Neoj4’s query language. This talk was hosted by Engine Yard and given at the Graph Database SF meetup.
Views: 3543 Hakka Labs
Canonical Data Model Example – Enterprise Integration Patterns
 
11:01
Many organizations have multiple Software Applications that are based on different data models & formats. When these systems need to integrate, how can we minimize dependencies and coupling between domain models? One solution is to design and implement a Canonical Data Model. The model should be independent and not reflect any individual application. Each Integrating application should only know how to convert their domain model into the canonical model and vice versa. Applications are no longer exposed and coupled to each other’s domain objects and terminology. Designing a canonical model can enclose different levels of complexity and challenges. E.g. A small company vs an existing large organisation’s eco-system may be very different. - Size of existing data models? - People need to understand the existing data models, systems and business process. - Good tooling required for schemas. - Good software developers up for the challenge. - How to avoid translation & code spaghetti? - Manage canonical model versioning. Don’t break existing consumers with old versioning. - Publishers implement Consumer Driven Contract Tests. - Benefit Cost Ratio? Is it worth the investment? - Is it a good idea? Do we want and need it? Let’s be pragmatic. - Analyse lessons learned from existing adoptions & attempts. If you enjoyed the video, don’t forget to subscribe for regular software tech videos! :) Enjoy! Philip Spring Boot JMS Tutorial - JAXB JmsTemplate JmsListener with ActiveMQ: https://www.youtube.com/watch?v=3GNiepg3704 Generate JAXB Java classes from XSD with maven-jaxb2-plugin AND Spring OXM JAXB Example: https://www.youtube.com/watch?v=0D-P2LzLJYQ Enterprise Integration Pattern Canonical Data Model: http://www.enterpriseintegrationpatterns.com/patterns/messaging/CanonicalDataModel.html Enterprise Integration Patterns: http://www.enterpriseintegrationpatterns.com/ Consumer Driven Contract testing: https://www.thoughtworks.com/radar/techniques/consumer-driven-contract-testing Consumer Driven Contracts: http://martinfowler.com/articles/consumerDrivenContracts.html
Views: 2249 Philip Starritt
Relational Model Concepts - Chapter 5
 
02:57
Introduction to Database Concepts and Data Modeling An information model in software engineering is a representation of concepts and the relationships, constraints, rules, and operations to specify data semantics for a chosen domain of discourse. Typically it specifies relations between kinds of things, but may also include relations with individual things. It can provide sharable, stable, and organized structure of information requirements or knowledge for the domain context. conceptual data model | data modeling | conceptual model | what is model | database models | what is a model | logic design | what is data modeling | logical data model | physical model | conceptual data model | relational data model | concept model | types of data models | data modeling techniques | physical data model | information model | data model definition | conceptual model definition | conceptual model examples | what is a data model | data modelling concepts | what is a conceptual model More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 1300 AO DBA
Data Modeling Types
 
06:09
This video talks about what is data modeling, different types of data modeling, who will be doing the data modeling, an etl tester what must know about data modeling Please visit the channel for more videos, https://www.youtube.com/channel/UCrTvb3977MR0tElOSFb1nvQ Please visit the website to refer the content & more articles , http://wowetltesting.com -~-~~-~~~-~~-~- Please watch: "Indian Professional Blogger harsh agarwal" https://www.youtube.com/watch?v=RxNHeJSED10 -~-~~-~~~-~~-~-
Views: 406 Mypappu Tech
Entity Relationship Diagrams - Chapter 2
 
02:59
An information model in software engineering is a representation of concepts and the relationships, constraints, rules, and operations to specify data semantics for a chosen domain of discourse. Typically it specifies relations between kinds of things, but may also include relations with individual things. It can provide shareable, stable, and organized structure of information requirements or knowledge for the domain context. conceptual data model | data modeling | conceptual model | what is model | database models | what is a model | logic design | what is data modeling | logical data model | physical model | conceptual data model | relational data model | concept model | types of data models | data modeling techniques | physical data model | information model | data model definition | conceptual model definition | conceptual model examples | what is a data model | data modelling concepts | what is a conceptual model More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 1079 AO DBA
Database Design Course - Learn how to design and plan a database for beginners
 
08:07:20
This database design course will help you understand database concepts and give you a deeper grasp of database design. Database design is the organisation of data according to a database model. The designer determines what data must be stored and how the data elements interrelate. With this information, they can begin to fit the data to the database model. Learn more about this course on Caleb Curry's website: https://www.calebcurry.com/freecodecamp-database-design-full-course/ ⭐️ Contents ⭐ ⌨️ (0:00:00) Introduction ⌨️ (0:03:12) What is a Database? ⌨️ (0:11:04) What is a Relational Database? ⌨️ (0:23:42) RDBMS ⌨️ (0:37:32) Introduction to SQL ⌨️ (0:44:01) Naming Conventions ⌨️ (0:47:16) What is Database Design? ⌨️ (1:00:26) Data Integrity ⌨️ (1:13:28) Database Terms ⌨️ (1:28:28) More Database Terms ⌨️ (1:38:46) Atomic Values ⌨️ (1:44:25) Relationships ⌨️ (1:50:35) One-to-One Relationships ⌨️ (1:53:45) One-to-Many Relationships ⌨️ (1:57:50) Many-to-Many Relationships ⌨️ (2:02:24) Designing One-to-One Relationships ⌨️ (2:13:40) Designing One-to-Many Relationships ⌨️ (2:23:50) Parent Tables and Child Tables ⌨️ (2:30:42) Designing Many-to-Many Relationships ⌨️ (2:46:23) Summary of Relationships ⌨️ (2:54:42) Introduction to Keys ⌨️ (3:07:24) Primary Key Index ⌨️ (3:13:42) Look up Table ⌨️ (3:30:19) Superkey and Candidate Key ⌨️ (3:48:59) Primary Key and Alternate Key ⌨️ (3:56:34) Surrogate Key and Natural Key ⌨️ (4:03:43) Should I use Surrogate Keys or Natural Keys? ⌨️ (4:13:07) Foreign Key ⌨️ (4:25:15) NOT NULL Foreign Key ⌨️ (4:38:17) Foreign Key Constraints ⌨️ (4:49:50) Simple Key, Composite Key, Compound Key ⌨️ (5:01:54) Review and Key Points....HA GET IT? KEY points! ⌨️ (5:10:28) Introduction to Entity Relationship Modeling ⌨️ (5:17:34) Cardinality ⌨️ (5:24:41) Modality ⌨️ (5:35:14) Introduction to Database Normalization ⌨️ (5:39:48) 1NF (First Normal Form of Database Normalization) ⌨️ (5:46:34) 2NF (Second Normal Form of Database Normalization) ⌨️ (5:55:00) 3NF (Third Normal Form of Database Normalization) ⌨️ (6:01:12) Indexes (Clustered, Nonclustered, Composite Index) ⌨️ (6:14:36) Data Types ⌨️ (6:25:55) Introduction to Joins ⌨️ (6:39:23) Inner Join ⌨️ (6:54:48) Inner Join on 3 Tables ⌨️ (7:07:41) Inner Join on 3 Tables (Example) ⌨️ (7:23:53) Introduction to Outer Joins ⌨️ (7:29:46) Right Outer Join ⌨️ (7:35:33) JOIN with NOT NULL Columns ⌨️ (7:42:40) Outer Join Across 3 Tables ⌨️ (7:48:24) Alias ⌨️ (7:52:13) Self Join 🎥Course developed by Caleb Curry. Check out his YouTube channel: https://www.youtube.com/user/CalebTheVideoMaker2 🐦Follow Caleb on Twitter: https://twitter.com/calebcurry -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp
Views: 54015 freeCodeCamp.org
Part 17  Editing a model in mvc
 
07:53
Text version of the video http://csharp-video-tutorials.blogspot.com/2013/05/part-17-editing-model-in-mvc.html Slides http://csharp-video-tutorials.blogspot.com/2013/09/part-17-editing-model-in-mvc.html All ASP .NET MVC Text Articles http://csharp-video-tutorials.blogspot.com/p/aspnet-mvc-tutorial-for-beginners.html All ASP .NET MVC Slides http://csharp-video-tutorials.blogspot.com/p/aspnet-mvc-slides.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists In this video we will dsicuss editing a model in mvc. Please watch Part 16, before proceeding. Step 1: Copy and paste the following "Edit" controller action method in "EmployeeController.cs" file. [HttpGet] public ActionResult Edit(int id) { EmployeeBusinessLayer employeeBusinessLayer = new EmployeeBusinessLayer(); Employee employee = employeeBusinessLayer.Employees.Single(emp =] emp.ID == id); return View(employee); } Please note: 1. This method is decorated with [HttpGet] attribute. So this method only responds to HTTP get request when editing data. 2. The "Edit" action method also receives "id" of the employee that is being edited. This "id" is used to retrieve the employee details. 3. The employee object is passed to the view Step 2: Add "Edit" view a) Right click on the "Edit" controller action method, and select "Add view" from the context menu b) Set View name = Edit View engine = Razor Select "Create a strongly-typed view" check box Model class = "Employee" Scaffold template = "Edit" Finally click "Add" button c) This should add "Edit.cshtml" to "Employee" folder in "Views" foolder d) Delete the following scripts section that is present at the bottom of "Edit.cshtml" view @section Scripts { @Scripts.Render("~/bundles/jqueryval") } Run the application and navigate to http://localhost/MVCDemo/Employee/Index. This page should list all the employees. Click on "Edit" link. The "Edit" page should display the details of the "Employee" being edited. Notice that, by default "textboxes" are used for editing. It is ideal to have a dropdownlist for gender rather than a textbox. To achieve this. make the following changes to "Edit.cshtml" REPLACE THE FOLLOWING CODE @Html.EditorFor(model =] model.Gender) @Html.ValidationMessageFor(model =] model.Gender) WITH @Html.DropDownList("Gender", new List[SelectListItem] { new SelectListItem { Text = "Male", Value="Male" }, new SelectListItem { Text = "Female", Value="Female" } }, "Select Gender") @Html.ValidationMessageFor(model =] model.Gender) Run the application. Edit an employee, and notice that a DropDownList is used for gender as expected. Post the form by clicking on "Save" button. We will get an error stating - The resource cannot be found. We will discuss fixing this in our next video.
Views: 162194 kudvenkat
Mapping Entities to a Table - Chapter 4
 
02:06
An information model in software engineering is a representation of concepts and the relationships, constraints, rules, and operations to specify data semantics for a chosen domain of discourse. Typically it specifies relations between kinds of things, but may also include relations with individual things. It can provide shareable, stable, and organized structure of information requirements or knowledge for the domain context. conceptual data model | data modeling | conceptual model | what is model | database models | what is a model | logic design | what is data modeling | logical data model | physical model | conceptual data model | relational data model | concept model | types of data models | data modeling techniques | physical data model | information model | data model definition | conceptual model definition | conceptual model examples | what is a data model | data modelling concepts | what is a conceptual model More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 642 AO DBA
Entity Relationship Diagrams - Chapter 2
 
10:16
Introduction to Database Concepts and Data Modeling An information model in software engineering is a representation of concepts and the relationships, constraints, rules, and operations to specify data semantics for a chosen domain of discourse. Typically it specifies relations between kinds of things, but may also include relations with individual things. It can provide sharable, stable, and organized structure of information requirements or knowledge for the domain context. conceptual data model | data modeling | conceptual model | what is model | database models | what is a model | logic design | what is data modeling | logical data model | physical model | conceptual data model | relational data model | concept model | types of data models | data modeling techniques | physical data model | information model | data model definition | conceptual model definition | conceptual model examples | what is a data model | data modelling concepts | what is a conceptual model More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 16 AO DBA
Implementing the Kiji Data Model to Build Real-Time, Big Data Apps on Cassandra
 
35:24
Don’t miss the next DataEngConf in Barcelona: https://dataeng.co/2O0ZUq7 Read the full post here: http://www.hakkalabs.co/articles/kiji-cassandra The Kiji Project is a modular, open-source framework that enables developers to efficiently build real-time Big Data applications. Kiji is built upon popular open-source technologies such as Cassandra, HBase, Hadoop, and Scalding, and contains components that implement functionality critical for Big Data applications. In this talk, Clint Kelly (WibiData) discusses: - The Kiji architecture and data model - Implementing the Kiji data model in Cassandra using the Java driver and CQL3 - Integrating Cassandra with Hadoop 2.x - Building a flexible middleware platform that supports Cassandra and HBase (including projects that use both simultaneously) - Exposing unique features of Cassandra (e.g., variable consistency) to Kiji users This talk was given at Cassandra Day Silicon Valley.
Views: 864 Hakka Labs
OrientDB - Graph Databases, Multi-Model DBMS and Game Of Thrones - BigData.SG & Hadoop.SG
 
01:16:26
Speaker: Luca Garulli Luca Garulli is the founder of OrientDB, the first Open Source Distributed Multi-Model DBMS with a Graph Engine. After an introduction of Graph Databases and why they are so great to solve the Big Data complexity, Luca will explain the decision behind the creation of the Multi-Model DBMS and its pros/cons against the more classic Polyglot Persistence approach. At the end of the presentation, there will be a live demo of OrientDB and Game Of Thrones.  Bio  Luca is the Founder and CEO of OrientDB Ltd, the company behind the OrientDB Multi-Model NoSQL Open Source project. He's also the author of Roma Meta Framework project and he contributed to the Sun/Oracle JDO standard as a member of the JSR. Event Page: https://www.meetup.com/BigData-Hadoop-SG/events/237901602/ Produced by Engineers.SG Help us caption & translate this video! http://amara.org/v/4qaU/
Views: 1154 Engineers.SG
Big Data Tools and Technologies | Big Data Tools Tutorial | Big Data Training | Simplilearn
 
06:58
This Big Data Tools Tutorial will explain what is Big Data?, Big Data challenges and some of the popular Big Data tools involed in Big Data processing and management. The main challenge of Big Data is storing and processing the data at a specified time span. The traditional approach is not efficient in doing that. So Hadoop technologies and various Big Data tools have emerged to solve the challenges in Big Data environment. There are a lot of Big Data tools, all of them help in some or the other way in saving time, money and in covering business insights. This video will talk about such tools used in Big Data management. Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=BigData-Tools-Tutorial-Pyo4RWtxsQM&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=BigData-Tools-Tutorial-Pyo4RWtxsQM&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 6246 Simplilearn
OBIEE 11g Reports and Dashboards: Define the Data Sources and Create the Data Model
 
04:39
Define the Data Sources and Create the Data Model is an excerpt from OBIEE (Oracle Business Intelligence Enterprise Edition) 11g Reports and Dashboards Video Training: http://www.informit.com/store/obiee-oracle-business-intelligence-enterprise-edition-9780134289304?WT.mc_id=Social_YT 6+ Hours of Video Instruction -- OBIEE 11g (Oracle Business Intelligence Enterprise Edition) Reports and Dashboards LiveLessons introduces students to the querying and analytical capabilities of Oracle Analytics using the web interface. This course is primarily for business analysts or programmers utilizing OBIEE for analysis. Students will leave the course being able to produce reports and retrieve information from the Oracle RDBMS using the OBIEE web interface. Description In this LiveLessons video course, Oracle ACE Director Dan Hotka covers how to create, modify, run, and refine ad hoc queries. Students will learn to view, chart, and analyze multidimensional data. They will also learn to produce individual ad hoc reports and make these reports and information easy to access (dashboards). The final lesson focuses on using BI Publisher to transform these reports into polished/formatted/quality reports in about any language or format required. About the Instructor Dan Hotka is a training specialist and an Oracle ACE director who has more than 37 years in the computer industry and more than 31 years of experience with Oracle products. His experience with the Oracle RDBMS dates back to the Oracle V4.0 days. Dan enjoys sharing his knowledge of the Oracle RDBMS. Dan is well published with 12 Oracle books and more than 200 published articles. He is also the video author of several LiveLessons including Oracle SQL, Oracle SQL Performance Tuning for Developers LiveLessons and Oracle PL/SQL Programming: Fundamentals to Advanced LiveLessons. He is frequently published in Oracle trade journals, blogs regularly, and speaks at Oracle conferences and user groups around the world. Visit his website at www.DanHotka.com. Skill Level Beginner Learn How To Use the OBIEE interface Retrieve data in a variety of formats Use report formatting Build dashboards and pass parameters Work with the publishing tool that is included in the base product Understand a variety of tips and techniques for distributing, saving, downloading various reports and data Who Should Take This Course Business analysts Programmers Course Requirements No prior knowledge of OBIEE is required A working knowledge of BI tools would be helpful New Player Enables Streaming and Download Access Now you can stream and download videos for unlimited 24/7 online/offline access and ownership. Streaming—Watch instantly as the video streams online in real time; after purchase, simply click Watch Now to get started. Download—Download video files for offline viewing anytime, anywhere; after purchase, simply click the Download icon within the player and follow the prompts. Plus, enjoy new player features that track your progress and help you navigate between modules. http://www.informit.com/store/obiee-oracle-business-intelligence-enterprise-edition-9780134289304?WT.mc_id=Social_YT
Views: 2227 LiveLessons
How to Structure Firebase (NoSQL) Data | Firebase with Abe (Google Developer)
 
16:42
Whilst we're discussing Firebase with Abe (https://twitter.com/abeisgreat), why don't we try to get some insights into how to best our NoSQL data? ---------- Check the source code of the example project (Note: You won't be able to store data on my FB project, set up your own one!): https://github.com/academind/yt-firebase-google-demo/tree/fb-simple Firebase Docs: https://firebase.google.com/docs/ Firebase Pricing: https://firebase.google.com/pricing/ Learn more about structuring data: https://firebase.google.com/docs/database/web/structure-data ---------- • You can follow Max on Twitter (@maxedapps). • You can also find us on Facebook.(https://www.facebook.com/academindchannel/) • Or visit our Website (https://www.academind.com) and subscribe to our newsletter! See you in the videos!
Views: 10248 Academind
Mapping Entities to a Table - Chapter 4
 
06:22
Introduction to Database Concepts and Data Modeling An information model in software engineering is a representation of concepts and the relationships, constraints, rules, and operations to specify data semantics for a chosen domain of discourse. Typically it specifies relations between kinds of things, but may also include relations with individual things. It can provide sharable, stable, and organized structure of information requirements or knowledge for the domain context. conceptual data model | data modeling | conceptual model | what is model | database models | what is a model | logic design | what is data modeling | logical data model | physical model | conceptual data model | relational data model | concept model | types of data models | data modeling techniques | physical data model | information model | data model definition | conceptual model definition | conceptual model examples | what is a data model | data modelling concepts | what is a conceptual model More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 54 AO DBA
DistributableStream: A Java 8 Stream Computational Model for Big Data Processing
 
56:57
With lambda expressions and the Stream API, Java 8 becomes a highly powerful and expressive programming language that supports queries on in-memory data collections. These new Java features have shed light on a Stream computational model that enables users to easily process big data across multiple computational platforms. This session describes DistributableStream, the Java abstraction that supports distributed and federated query. DistributableStream builds on Stream, supporting execution of generic queries on any registered compute engine. At execution time, each portion of a DistributableStream is assembled as a local stream that represents data partitions locally stored on each machine. Authors: Garret Swart No bio available View more trainings by Garret Swart at https://www.parleys.com/author/garret-swart Kuassi Mensah Kuassi Mensah is Director of Product Management for Database Access Drivers, Frameworks and APIs including JDBC, Java in the Database, UCP, DRCP, Application Continuity and In-Database MapReduce. Mr Mensah holds a MS in Computer Sciences from the Programming Institute of University of Paris VI. He has published several articles and a book @ http://www.amazon.com/exec/obidos/ASIN/1555583296 He is is a frequent speaker at Oracle and IT events and maintains a blog @ http://db360.blogspot.com, as well as facebook, linkedin, and twitter (@kmensah) pages. View more trainings by Kuassi Mensah at https://www.parleys.com/author/kuassi-mensah Xueyuan Su Xueyuan Su is a Senior Member of Technical Staff at Oracle, focusing on Big Data technologies and products. He has broad interests in parallel and distributed systems, computer networks, and algorithm design and analysis. He obtained his Ph.D from Yale University with a concentration in theoretical computer science. View more trainings by Xueyuan Su at https://www.parleys.com/author/xueyuan-su Find more related tutorials at https://www.parleys.com/category/developer-training-tutorials
Views: 1453 Oracle Developers
ArcSWAT Model Tutorials 1 of 3
 
14:39
SWAT (Soil & Water Assessment Tool) is a river basin scale model developed to quantify the impact of land management practices in large, complex watersheds. SWAT is a public domain software enabled model actively supported by the USDA Agricultural Research Service at the Blackland Research & Extension Center in Temple, Texas, USA. It is a hydrology model with the following components: weather, surface runoff, return flow, percolation, evapotranspiration, transmission losses, pond and reservoir storage, crop growth and irrigation, groundwater flow, reach routing, nutrient and pesticide loading, and water transfer. SWAT can be considered a watershed hydrological transport model. This model is used worldwide and is continuously under development. As of July 2012, more than 1000 peer-reviewed articles have been published that document its various applications.
Part 11  Using business objects as model in mvc
 
16:21
Text version of the video http://csharp-video-tutorials.blogspot.com/2013/05/part-11-using-business-objects-as-model.html Slides http://csharp-video-tutorials.blogspot.com/2013/09/part-11-using-business-objects-as-model.html All ASP .NET MVC Text Articles http://csharp-video-tutorials.blogspot.com/p/aspnet-mvc-tutorial-for-beginners.html All ASP .NET MVC Slides http://csharp-video-tutorials.blogspot.com/p/aspnet-mvc-slides.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists In this video, we will discuss using business objects as model. Until now, we have been using entity framework and entities. Entities are mapped to database tables, and object relational mapping tools like Entity Framework, nHibernate, etc are used to retrieve and save data. Business objects contain both state(data) and behaviour, that is logic specific to the business. In MVC there are several conventions that needs to be followed. For example, controllers need to have the word controller in them and should implement IController interface either directly or indirectly. Views should be placed in a specific location that MVC can find them. The following URL will invoke Index() action method with in the HomeController. Notice that our HomeController inherits from base Controller class which inturn inherits from ControllerBase class. ControllerBase inturn inherits from IController class. http://localhost/MVCDemo/Home/Index return View() statement with in the HomeController by default looks for a view with name = "Index" in "/Views/Home/" and "/Views/Shared/" folders. If a view with name = "Index" is not found, then, we get an error But with models, there are no strict rules. Infact "Models" folder is optional and they can live anywhere. They can even be present in a separate project. Let's now turn our attention to using business objects as model. Stored procedure to retrieve data Create procedure spGetAllEmployees as Begin Select Id, Name, Gender, City, DateOfBirth from tblEmployee End Step 1: Create an ASP.NET MVC 4 Web application with name = MVCDemo Step 2: Add a Class Library project with Name="BusinessLayer" Step 3: Right click on the BusinessLayer class library project, and add a class file with name = Employee.cs. using System; using System.Collections.Generic; using System.Linq; using System.Text; namespace BusinessLayer { public class Employee { public int ID { get; set; } public string Name { get; set; } public string Gender { get; set; } public string City { get; set; } public DateTime DateOfBirth { get; set; } } } Step 4: Right click on the "References" folder of the "BusinessLayer" class library project, and add a reference to "System.Configuration" assembly. Step 5: Right click on the BusinessLayer class library project, and add a class file with name = EmployeeBusinessLayer.cs. Step 6: Right click on the "References" folder of the "MVCDemo" project, and add a reference to "BusinessLayer" project. Step 7: Include a connection string with name = "DBCS" in Web.Config file Step 8: Right click on the "Controllers" folder and add Controller with name = "EmployeeController.cs". Step 9: Right click on the Index() action method in the "EmployeeController" class and select "Add View" from the context menu. Set View name = Index View engine = Razor Select "Create a strongly-typed view" checkbox Scaffold Template = List Click "Add" button Run the application.
Views: 314952 kudvenkat
Stanford Seminar - The Case for Learned Index Structures
 
55:40
EE380: Computer Systems Colloquium Seminar The Case for Learned Index Structures Speaker: Alex Beutel and Ed Chi, Google Indexes are models: a B-Tree-Index can be seen as a model to map a key to the position of a record within a sorted array, a Hash-Index as a model to map a key to a position of a record within an unsorted array, and a BitMap-Index as a model to indicate if a data record exists or not. In this talk, we take this premise and explain how existing database index structures can be replaced with other types of models, which we term learned indexes. The key idea is that a model can learn the sort order or structure of indexed data and use this signal to effectively predict the position or existence of records. We offer theoretical analysis under which conditions learned indexes outperform traditional index structures and we will delve into the challenges in designing learned index structures. Through addressing these challenges, our initial results show that learned indexes are able to outperform cache-optimized B-Trees by up to 70% in speed while saving an order-of-magnitude in memory over several real-world data sets. Finally, we will discuss the broader implications of learned indexes on database design and future directions for the ML for Database Systems research. About the Speaker: Alex Beutel is a Senior Research Scientist in the Google Brain team working on neural recommendation, fairness in machine learning, and ML for Systems. He received his Ph.D. in 2016 from Carnegie Mellon University's Computer Science Department, and previously received his B.S. from Duke University in computer science and physics. His Ph.D. thesis on large-scale user behavior modeling, covering recommender systems, fraud detection, and scalable machine learning, was given the SIGKDD 2017 Doctoral Dissertation Award Runner-Up. He received the Best Paper Award at KDD 2016 and ACM GIS 2010, was a finalist for best paper in KDD 2014 and ASONAM 2012, and was awarded the Facebook Fellowship in 2013 and the NSF Graduate Research Fellowship in 2011. More details can be found at http://alexbeutel.com. Ed H. Chi is a Principal Scientist at Google, leading machine learning research focusing on neural modeling and recommendation systems in the Google Brain team. He has launched significant improvements for YouTube, Google Play Store and Google+. With 39 patents and over 110 research articles, he is known for research on user behavior in web and social media. Prior to Google, he was the Area Manager and a Principal Scientist at Palo Alto Research Center's Augmented Social Cognition Group, where he led the team in understanding how social systems help groups of people to remember, think and reason. Ed completed his three degrees (B.S., M.S., and Ph.D.) in 6.5 years from University of Minnesota. Recognized as an ACM Distinguished Scientist and elected into the CHI Academy, he has been featured and quoted in the press, including the Economist, Time Magazine, LA Times, and the Associated Press. Recognized recently with a 20-year Test of Time award for research in information visualization, Ed is also an avid swimmer, photographer and snowboarder in his spare time, and has a blackbelt in Taekwondo. For more information about this seminar and its speaker, you can visit https://ee380.stanford.edu/Abstracts/181017.html Support for the Stanford Colloquium on Computer Systems Seminar Series provided by the Stanford Computer Forum. Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated circuits to operating systems and programming languages. It is free and open to the public, with new lectures each week. Learn more: http://bit.ly/WinYX5
Views: 116 stanfordonline
EMF, myself and UI
 
27:37
EMF in combination with EMF Forms promises to drastically reduce the effort for building form-based UIs for data entities. However, articles, blogs, and slide can lie. The goal of this talk is to give a real impression of how these technologies perform in practice. We will therefore skip boring slides and theoretical explanations and dive directly into the development of a single form. After a very short introduction we will do a live demonstration of the following steps: - Defining the underlying data entity - Creating a form-based UI for all simple attributes - Adding tables for referenced entities - Layout the UI - Adding data and input validation - Adding visibility conditions - Embedding the form into a running application Although this sounds like a lot to cover in 30 minutes, we are confident, we can make it happen. We designed the talk such that even an audience without any EMF experience will be able to follow. Speaker(s): Maximilian Koegel [EclipseSource Munich] Slides: https://www.eclipsecon.org/france2016/sites/default/files/slides/EMF%2C%20myself%20and%20UI.pdf
Views: 1684 Eclipse Foundation
Viewing Query Plans and Profile Data in Vertica Management Console
 
05:34
Working with Vertica Management Console to view Query Plans and Profiling a Query More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 1237 AO DBA
OrientDB - the 2nd generation of (MultiModel) NoSQL by Luigi Dell'Aquila
 
28:17
NoSQL claim was to use the right database model for the right domain. Bad news, in most cases a single database model is not enough! In last years NoSQL experienced a huge upward trend, offering new data models (Document, Graph, Key-Value...) to solve problems where old RDBMS failed. Now people who have chosen NoSQL as an architecture component, realize that a single data model (even when richer that relational), is not enough for average needs. Luigi Dell'Aquila, Director of Consulting at Orient Technologies Ltd (the company behind OrientDB, the first ever multi-model database), discusses the latest technology innovations and the market's demand for databases that combine more than one NoSQL model (ex. GraphDB, DocumentDB, Key/Value, Objects). In this lecture, we will discuss why graph databases are at the heart of the multi-model revolution and why we're approaching the end of NoSQL's fragmented ecosystem where customers are forced to use multiple tools in their architectures. Benefits and compromises of this approach along with real world use cases will also be shared.
Views: 5831 Devoxx
Retrieving Full Text Articles from Electronic Databases
 
02:22
Briefly demonstrates how to access full-text articles from electronic databases when you have sufficient citation information.
Views: 235 Rebecca Fiedler
CQL Data Models: User Activity, Log Collection, and Form Versioning
 
01:07:10
Don’t miss the next DataEngConf in Barcelona: https://dataeng.co/2O0ZUq7 In this his C* Summit talk, Patrick McFadin shows top data models for three common CQL use cases: user activity, log collection, and form versioning. Check out the full post for more details: http://www.hakkalabs.co/articles/tech-talk-top-3-cql-data-models
Views: 1113 Hakka Labs
HBase Tutorial For Beginners | HBase In Hadoop | Apache HBase Tutorial |Hadoop Tutorial |Simplilearn
 
19:44
This Hbase tutorial for beginners will explain HBase architecture, HBase data model, Steps to install HBaseand how to insert data and query data from HBase. This HBase Tutorial will explain: 1. HBase Introduction 2. HBase Architecture 3. Data Storage in HBase 4. When to use HBase 5. HBase Installation Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=Hbase-Training-C3ilG2-tIn0&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: http://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Hbase-Training-C3ilG2-tIn0&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 20443 Simplilearn
How To Design An App - Part 06 - Adding a Data model
 
11:50
http://www.appdesignvault.com Our app needs some data. Up until now we have been adding static data. This video will show you how to add a data model to your app.
Views: 1975 appdesignvault
Rethinking Research Data | Kristin Briney | TEDxUWMilwaukee
 
15:06
The United States spends billions of dollars every year to publicly support research that has resulted in critical innovations and new technologies. Unfortunately, the outcome of this work, published articles, only provides the story of the research and not the actual research itself. This often results in the publication of irreproducible studies or even falsified findings, and it requires significant resources to discern the good research from the bad. There is way to improve this process, however, and that is to publish both the article and the data supporting the research. Shared data helps researchers identify irreproducible results. Additionally, shared data can be reused in new ways to generate new innovations and technologies. We need researchers to “React Differently” with respect to their data to make the research process more efficient, transparent, and accountable to the public that funds them. Kristin Briney is a Data Services Librarian at the University of Wisconsin-Milwaukee. She has a PhD in physical chemistry, a Masters in library and information studies, and currently works to help researchers manage their data better. She is the author of “Data Management for Researchers” and regular blogs about data best practices at dataabinitio.com. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 5850 TEDx Talks
International Journal of Database Management Systems IJDMS
 
00:28
International Journal of Database Management Systems ( IJDMS ) ISSN : 0975-5705 (Online); 0975-5985 (Print) http://airccse.org/journal/ijdms/index.html Scope & Topics The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems. Topics of interest include, but are not limited to, the following . Constraint Modelling and Processing . Data and Information Integration & Modelling . Data and Information Networks . Data and Information Privacy and Security . Data and Information Quality . Data and Information Semantics . Data and Information Streams . Data Management in Grid and P2P Systems . Data Mining Algorithms . Data Mining Systems, Data Warehousing, OLAP . Data Structures and Data Management Algorithms . Database and Information System Architecture and Performance . DB Systems & Applications . Digital Libraries . Distributed, Parallel, P2P, and Grid-based Databases . Electronic Commerce and Web Technologies . Electronic Government & eParticipation . Expert Systems and Decision Support Systems . Expert Systems, Decision Support Systems & applications . Information Retrieval and Database Systems . Information Systems . Interoperability . Knowledge Acquisition, discovery & Management . Knowledge and information processing . Knowledge Modelling . Knowledge Processing . Metadata Management . Mobile Data and Information . Multi-databases and Database Federation . Multimedia, Object, Object Relational, and Deductive Databases . Pervasive Data and Information . Process Modelling . Process Support and Automation . Query Processing and Optimization . Semantic Web and Ontologies . Sensor Data Management . Statistical and Scientific Databases . Temporal, Spatial, and High Dimensional Databases . Trust, Privacy & Security in Digital Business . User Interfaces to Databases and Information Systems . Very Large Data Bases . Workflow Management and Databases . WWW and Databases . XML and Databases Paper Submission: Authors are invited to submit papers for this journal through e-mail [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
SWAT-CUP | SWAT Model Calibration  | SUFI-2 Algoritham  | Auto-Calibration
 
13:02
SWAT (Soil & Water Assessment Tool) is a river basin scale model developed to quantify the impact of land management practices in large, complex watersheds. SWAT is a public domain software enabled model actively supported by the USDA Agricultural Research Service at the Blackland Research & Extension Center in Temple, Texas, USA. It is a hydrology model with the following components: weather, surface runoff, return flow, percolation, evapotranspiration, transmission losses, pond and reservoir storage, crop growth and irrigation, groundwater flow, reach routing, nutrient and pesticide loading, and water transfer. SWAT can be considered a watershed hydrological transport model. This model is used worldwide and is continuously under development. As of July 2012, more than 1000 peer-reviewed articles have been published that document its various applications. Please Like and Subscribe our Channel for more educational videos
Introduction to Data Highlighter - Semalt
 
01:34
Visit us - https://semalt.com/?ref=y #highlighter, #introduction, #to, #data, #data_and, #piechart_data, #bjp_to, #introduction_hi, #sorteiotirolplus_data, #data_in, #gym_to, #data_transfer, #drawingconclusionsfromgraphicorganizers_data, #taos_highlighter data highlighter data highlighter articles data highlighter seo data highlighter youtube data frost highlighter data highlighter wordpress data highlighter google webmaster data highlighter data highlighter products jqplot highlighter data data highlighter woocommerce introduction to computer data introduction to missing data introduction to data analytics introduction to data integrity sayood introduction to data introduction to data centers introduction to data types introduction to data cubes introduction to data acquisition introduction to data analytics.ppt introduction to data security.ppt introduction to multisensor data introduction to data mining.doc introduction to data handling introduction to data table introduction to data assimilation introduction to data privacy introduction to data analysis introduction to data compression introduction to data comtech introduction to data logging introduction to graphing data introduction to hyperspectral data introduction to data storage introduction to categorical data introduction to data cables introduction to data structures introduction to data migration introduction to core data introduction to data binding introduction to data transmission introduction to data normalization introduction to statistics data introduction to data integration introduction to data mining introduction to data visualisation introduction to data center introduction to data pdf introduction to data processing introduction to microarray data introduction to data encryption introduction to data fusion introduction to data sets introduction to dnp3 data introduction to data communications introduction to data base introduction to spatial data introduction to data minning introduction to data multicasting introduction to data protection data highlighter vs structured data data-introduction introduction data how to use google data highlighter data communication introduction to data communication pentel data checker highlighter webmaster data highlighter pipe dp highlighter primefaces data webmaster data highlighter colors search console data highlighter google data highlighter tester data highlighter not working webmaster tools data highlighter google webmaster data highlighter webmaster data highlighter brands data highlighter vs schema webmaster data highlighter makeup google data highlighter seo webmaster data highlighter clipart data highlighter vs schematic webmaster data highlighter yellow webmaster data highlighter costume data highlighter for products webmaster data highlighter party data highlighter vs schemata google data highlighter tool google data highlighter articles data highlighter vs schematics webmaster data highlighter pen webmaster data highlighter stain webmaster data highlighter brush webmaster data highlighter pens 15121 introduction to data structures introduction to clinical data management introduction to data communication technology introduction to data flow computing introduction to data multicasting pdf introduction to data structures cormen introduction to data structures pdf introduction to electronic data interchange.pdf introduction to mobile data networks introduction to wireless data networks ebook introduction to data mining missing data introduction to chemistry missing data introduction to computer gentle introduction to stata data guardian introduction to data visualisation introduction to business data processing introduction to data analysis course introduction to data center pdf introduction to data communication devices introduction to data modeling ppt introduction to intelligent data modelling introduction to microarray data analysis introduction to panel data ppt buy introduction to data mining sayood introduction to data compression introduction to big data documentation introduction to data encryption pdf introduction to data management files introduction to data mining pang introduction to data science tutorials introduction to data visualization pdf introduction to economic data analysis introduction to informatica data quality introduction to seismic refraction data introduction to vhdl data objects coursera introduction to data science cloudera introduction to data science
Views: 0 sachin salunke
Introduction into Vertica Database Fault Groups
 
03:58
Introduction into Vertica Database Fault Groups More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 524 AO DBA
Discover SharePoint 2013   How To Build a data model with PowerPivot
 
02:03
www.epcgroup.net | [email protected] | Phone: (888) 381-9725 * SharePoint Server 2013, SharePoint Server 2010, and SharePoint 2007: Review, Architecture Development, Planning, Configuration & Implementations, Upgrades, Global Initiatives, Training, and Post Go-live Support with Extensive Knowledge Transfer * Health Check and Assessments (Roadmap Preparation to Upgrade to 2013 or 2010) - Including Custom Code & Solution Review * Enterprise Content Management Systems based on Microsoft SharePoint * Enterprise Metadata Design, Taxonomy | Retention Schedule Development | Disposition Workflow, and Records Management Implementations * Roadmap, Requirements Gathering, Planning, Designing, and Performing the Actual Implementation * Best Practices Consulting on SharePoint 2013, 2010, 2007 | EPC Group has completed over 725+ initiatives * Intranet, Knowledge Management, Internet and Extranet-Facing as Well as Mobility (BYOD Roadmap), Cloud, Hybrid, and Cross-Browser | Cross-Platform Solutions for SharePoint 2013 / 2010 with Proven Past-performance *Upgrades or Migrations of Existing Deployments or Other LOB Systems (Documentum, LiveLink, FileNet, SAP, etc.) using EPC Group's Proven Methodologies (On-Premises, Hybrid, Virtualized, or Cloud-Based Infrastructure Design) * Custom Application, Feature, Master Pages, Web Parts, Security Model, Usability (UI), and Workflow Development (i.e. Visual Studio 2012) * Migration Initiatives to SharePoint 2013 / SharePoint 2010 * Key Performance Indicators, Dashboard & Business Intelligence Reporting Solutions (PerformancePoint 2013, SQL Server 2012, BI, KPIs, PowerPivot, Scorecards, Big Data Experts) * Experts in Global \ Enterprise Infrastructure, Security, Hardware Configuration & Disaster Recovery (Global performance considerations, multilingual, 1mm+ user environment experience) * Tailored SharePoint "in the trenches" Training on SharePoint 2013, 2010, 2007 as well as Project Server and Custom Development Best Practices * Support Contracts (Ongoing Support your Organization's 2013, 2010, or 2007 Implementations) * .NET Development, Custom applications, BizTalk Server experts * Project Server 2013, 2010, and 2007 Implementations and Consulting * SharePoint Roadmap & Governance Development: 6, 12, 18, 24 and 36 months (Steering Committee & Code Review Board Development) * Corporate Change Management & End User Empowerment Strategies * EPC Group's WebpartGallery.com - Customized Web Parts Based off of "in the trenches" Client Needs With over 14 years of experience, EPC Group delivers time tested SharePoint methodologies that ensure success within your organization. Engagement with EPC Group carries unique offerings and knowledge. Currently having implemented over 725+ SharePoint engagements and 75+ Microsoft Project Server implementations, we are the nation's leading SharePoint and Microsoft platform related consulting firm. EPC Group will be releasing our 3rd SharePoint book in August of 2013 by Sams Publishing titled, "SharePoint 2013 Field Guide: Advice from the Consulting Trenches" which will be like having a team of Senior SharePoint 2013 consultants by your side at each turn as you implement this new powerful and game changing software platform within your organization. SharePoint 2013 Field Guide: Advice from the Consulting Trenches will guide you through all areas of a SharePoint initiative from the initial whiteboarding of the overall solutions to accounting for what your organization currently has deployed. It will assist you in developing a roadmap and detailed step-by-step implementation plan and will also cover implementation best practices, content management and records management methodologies, initial SharePoint 2013 development best practices, as well as mobility planning. SharePoint 2013, Microsoft SharePoint 2013, SharePoint Consulting, Microsoft SharePoint consulting, SharePoint Consulting Firm, Top SharePoint Firm, SharePoint 2013 Consulting,SharePoint 2010 Consulting, SharePoint ECM Consulting, SharePoint branding firm, SharePoint, SharePoint branding experts, ECM experts SharePoint, Errin O'Connor, EPC Group, EPC Group.net, BizTalk Consulting, Project Server Consulting, BYOD, SharePoint 2013 book, SharePoint 2013 advice from the trenches
Views: 2814 EPC Group.net
Uncovering Invisible Relationships with a Graph Database
 
45:36
Don’t miss the next DataEngConf in Barcelona: https://dataeng.co/2O0ZUq7 Get all of the details here: http://www.hakkalabs.co/articles/uncovering-invisible-relationships-graph-database In this tech talk, Kenny Bastani (Developer Evangelist, Neo4j), will demonstrate how graph databases are the key to providing richer experiences through personalized online interactions and content discovery. This tech talk was given at the Graph Database San Francisco Meetup hosted by Medium.
Views: 874 Hakka Labs
An Introduction to Temporal Databases
 
50:10
In the past manipulating temporal data was rather ad hoc and in the form of simple solutions. Today organizations strongly feel the need to support temporal data in a coherent way. Consequently, there is an increasing interest in temporal data and major database vendors recently provide tools for storing and manipulating temporal data. However, these tools are far from being complete in addressing the main issues in handling temporal data. The presentation uses the relational data model in addressing the subtle issues in managing temporal data: comparing database states at two different time points, capturing the periods for concurrent events and accessing to times beyond these periods, sequential semantics, handling multi-valued attributes, temporal grouping and coalescing, temporal integrity constraints, rolling the database to a past state and restructuring temporal data, etc. It also lays the foundation in managing temporal data in NoSQL databases as well. Having ranges as a data type PostgresSQL has a solid base in implementing a temporal database that can address many of these issues successfully. About the Speaker Abdullah Uz Tansel is professor of Computer Information Systems at the Zicklin School of Business at Baruch College and Computer Science PhD program at the Graduate Center. His research interests are database management systems, temporal databases, data mining, and semantic web. Dr. Tansel published many articles in the conferences and journals of ACM and IEEE. Dr. Tansel has a pending patent application on semantic web. Currently, he is researching temporality in RDF and OWL, which are semantic web languages. Dr. Tansel served in program committees of many conferences and headed the editorial board that published the first book on temporal databases in 1993. He is also one the editors of the forth coming book titled Recommendation and Search in Social Networks to be published by Springer. He received BS, MS and PhD degrees from the Middle East Technical University, Ankara Turkey. He also completed his MBA degree in the University of Southern California. Dr. Tansel is a member of ACM and IEEE Computer Society.
Views: 551 Postgres Conference
Lucidchart Tutorials - Export your ERD
 
01:32
Learn how Lucidchart allows you to quickly and easily export your Lucidchart entity relationship diagram back into your DBMS, updating your database’s tables, including relationships, fields, and keys. If you would like to learn more about entity relationship diagrams (or ERDs) then reference our tutorial series here: https://www.youtube.com/watch?v=QpdhBUYk7Kk Or if you would like to learn how to import your database to create and ERD in Lucidchart, click here: https://www.youtube.com/watch?v=yFjeJnV42Lg Lucidchart makes it simple and easy for you to export your ERD directly back to your database, saving you the time and hassle of making those changes and updates manually. Learn more at: https://lucidchart.zendesk.com/hc/en-us/articles/207299756-Entity-Relationship-Diagrams —— Learn more and sign up: http://www.lucidchart.com Follow us: Facebook: https://www.facebook.com/lucidchart Twitter: https://twitter.com/lucidchart Instagram: https://www.instagram.com/lucidchart LinkedIn: https://www.linkedin.com/company/lucidsoftware
Views: 926 Lucidchart
What Is A Snowflake Schema?
 
00:47
Schma snhov vloky wikipediewhat is snowflaking (snowflake schema)? Definition from whatis. Data warehouse modeling star schema vsstar vs snowflake which is better? . Snowflake schema consists the snowflake of one fact table that is connected to many dimension tables, which can be other tables through a model for data configuration in warehouse or mart linked multiple turn are what's difference between and star schema? When choosing database warehouse, schemas 518 feb 2011 two common designs identified as. Snowflake schema vs star difference and comparison snowflake youtube. You can implement the design into 28 apr 2016 in previous two articles, we considered most common data warehouse models star schema and snowflake. What is snowflake schema? The schema architecture a more star and schemas. Schma snhov vloky wikipedie. Snowflake schema is commonly used to model and store data in warehousing a snowflake more complex variation of the star due fact that dimensions this warehouse structure are normalized into much like database, also requires maintain. Data warehouse schema architecture snowflake. Php data_warehouse_concepts) and there is an entry explains the concept of snowflake schema in dimensional modeling. Star and snowflake schemas oracle. Star vs snowflake schemas what's your belief? Data warehousing star and sql server wiki dimensional modeling, star. A snowflake schema is. What is a snowflake schema? Toolbox for it groupssnowflake schema what Definition from techopediadimensional modeling schemas ibm. Schma snhov vloky je model uspodn tabulek, kdy centrln tabulka fakt spojena 'why is the snowflake schema a good data warehouse design? . A database uses relational model, while a data warehouse star, snowflake, in computing, snowflake schema refers multidimensional with logical tables, where the entity relationship diagram is arranged into shape of summary this tutorial, we take look that variation star using by systems. Star schema resembles a dimensional modeling, star, and snowflake schemasaccording to ralph kimball, the creator of modeling. When we discuss the differences 29 apr 2013 a dimensional model consists of dimension and fact tables is typically described as star or snowflake schema. Today what are the key differences in snowflake and star schema where should they be applied? Comparing reveals 2 mar 2009 i was browsing data warehouse concepts wiki (it. In relational implementation, the dimensional designs are mapped to a set of tables. What does snowflake schema mean? Business intelligence. In computing, a snowflake schema is logical arrangement of tables in multidimensional database such that the entity relationship diagram resembles data warehousing, snowflaking form dimensional modeling which dimensions are stored multiple related dimension.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )
 
00:13
International Journal of Data Mining & Knowledge Management Process ( IJDKP ) http://airccse.org/journal/ijdkp/ijdkp.html ISSN : 2230 - 9608[Online] ; 2231 - 007X [Print] Call for Papers Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data. This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum.Authors are solicited to contribute to the workshop by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Data mining foundations Parallel and distributed data mining algorithms, Data streams mining, Graph mining, spatial data mining, Text video, multimedia data mining, Web mining,Pre-processing techniques, Visualization, Security and information hiding in data mining Data mining Applications Databases, Bioinformatics, Biometrics, Image analysis, Financial modeling, Forecasting, Classification, Clustering, Social Networks, Educational data mining Knowledge Processing Data and knowledge representation, Knowledge discovery framework and process, including pre- and post-processing, Integration of data warehousing, OLAP and data mining, Integrating constraints and knowledge in the KDD process , Exploring data analysis, inference of causes, prediction, Evaluating, consolidating, and explaining discovered knowledge, Statistical techniques for generation a robust, consistent data model, Interactive data exploration/ visualization and discovery, Languages and interfaces for data mining, Mining Trends, Opportunities and Risks, Mining from low-quality information sources Paper submission Authors are invited to submit papers for this journal through e-mail [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.org/journal/ijdkp/ijdkp.html
Views: 28 aircc journal