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Tech Talk: Cassandra Data Modeling
 
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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: 52362 Data Council
Graph Data Modeling - Kenny Bastani
 
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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: 3568 Data Council
Information and Data Models Intro - Chapter 1
 
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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: 1191 AO DBA
Types of Relationships in Data Modeling - Chapter 3
 
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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: 1181 AO DBA
Types of Relationships in Data Modeling - Chapter 3
 
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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: 58 AO DBA
Database Design Course - Learn how to design and plan a database for beginners
 
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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: 114736 freeCodeCamp.org
Data modeling
 
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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: 133 Audiopedia
Big Data Tools and Technologies | Big Data Tools Tutorial | Big Data Training | Simplilearn
 
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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: 8449 Simplilearn
Data Modeling Types
 
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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: 428 Mypappu Tech
About the books Enterprise Model Patterns, and UML & Data Modeling
 
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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: 374 Steve Hoberman
OBIEE 11g Reports and Dashboards: Define the Data Sources and Create the Data Model
 
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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: 2352 LiveLessons
Implementing the Kiji Data Model to Build Real-Time, Big Data Apps on Cassandra
 
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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: 869 Data Council
jstor: An R package for Analysing Scientific Articles
 
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The interest in the (quantitative) analysis of textual data has increased considerably over the last few years. For researchers investigating the scholarly literature the full text archive of JSTOR (http://www.jstor.org) offers a rich and diverse set of journal articles and other texts. Through its service Data for Research (http://www.jstor.org/dfr/), JSTOR gives researchers the opportunity to analyse this data, by delivering metadata, n-grams and, upon special request, full-text materials. jstor (https://tklebel.github.io/jstor/) enables researchers to easily import the supplied metadata to R. These metadata can either be analysed on their own, or be used in conjunction with n-grams or full-text-data. The presentation will show how jstor supports investigations of scholarly literature, covering the analysis of n-grams and citation analysis. Besides introducing possible applications, the paper will also discuss limitations regarding data quality and possible solutions thereof.
Views: 269 R Consortium
Canonical Data Model Example – Enterprise Integration Patterns
 
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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: 2425 Philip Starritt
Information and Data Models Intro - Chapter 1
 
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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: 5144 AO DBA
EXPRESS (data modeling language) | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: EXPRESS (data modeling language) Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. You can find other Wikipedia audio articles too at: https://www.youtube.com/channel/UCuKfABj2eGyjH3ntPxp4YeQ In case you don't find one that you were looking for, put a comment. This video uses Google TTS en-US-Standard-D voice. SUMMARY ======= EXPRESS is a standard data modeling language for product data. EXPRESS is formalized in the ISO Standard for the Exchange of Product model STEP (ISO 10303), and standardized as ISO 10303-11.
Views: 12 wikipedia tts
Relational Model Concepts - Chapter 5
 
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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: 1334 AO DBA
Cloud Computing Services Models - IaaS PaaS SaaS Explained
 
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https://ecoursereview.com/cloud-computing-pros-and-cons-for-business-it/ 3 Types of Cloud Computing Services: IaaS PaaS SaaS Explained You Might Wonder – What Is Cloud Computer: #Cloudcomputing is a set of forms that contain certain elements that allows for on-demand, network access, scalability, and shared resources. It's a platform for managing, storing, and processing data online through the internet. Some of the cloud computing features include the following: - On-Demand Services – Available when you need it - Network Access – When using the internet as your medium - Shared Resources – All resources are gathered together and used by multiple customers - Scalability - The ability of a computer system to adapt to increasing demands The Three Delivery Models: Cloud computing provides different services based on three delivery configurations. When they are arranged in a pyramid structure, they are in the order of SaaS, PaaS, and IaaS. The Three Services: #SaaS - Software as a Service This service provides on-demand pay per use of the application software for users and is independent of a platform. You do not have to install software on your computer, unlike a license paid program. Cloud runs a single occurrence of the software, making it available for multiple end-users allowing the service to be cheap. All the computing resources that are responsible for delivering SaaS are totally managed by the vendor. The service is accessible through a web browser or lightweight client applications. End customers use SaaS regularly. The most popular SaaS providers offer the following products and services: Google Ecosystem including Gmail, Google Docs, Google Drive, Microsoft Office 365, and SalesForce. #PaaS - Platform as a Service This service is mostly a development environment that is made up of a programming language execution environment, an operating system, web server, and database. It provides an environment where users can build, compile, and run their program without worrying about an hidden infrastructure. You manage the data and application resources. All the other resources are managed by the vendor. This is the realm for developers. PaaS providers offer the following products and services: Amazon Web services, Elastic Beanstalk, Google App Engine, Windows Azure, Heroku, and Force.com #IaaS - Infrastructure as a Service This service provides the architecture and infrastructure. It provides all computing resources but in a virtual environment so multiple users can have access. The resources include data storage, virtualization, servers, and networking. Most vendors are responsible for managing them. If you use this service, you are responsible for handling other resources including applications, data, runtime, and middleware. This is mostly for SysAdmins. IaaS providers offer the following products and services: Amazon EC2, Go Grid, and Rackspace.com. Here is a short list of some companies that use cloud computing: iCloud – Cloud from Apple is for Apple products. You can backup and store everything from multimedia to documents online. The content is then smoothly integrated onto your devices. Amazon's AWS - When you talk about companies using cloud computing, Amazon Web Services leads the pack. It offers IaaS and PaaS to all their customers. Google Cloud – This cloud platform is universal for Google's enormous ecosystem and for other products such as Microsoft Office. It provides storage of data and collaboration along with other services that are included in their cloud computing suite. Microsoft Azure – Offered by Microsoft, it provides SaaS, PaaS, and IaaS for its software and developer tools. If you have used Office 365, then you have used SaaS. IBM Smart Cloud - This offers private, public, and hybrid distribution platforms providing a full range of SaaS, PaaS, and IaaS cloud computing services for businesses. The pay as you go platform generates profits for IBM. New technology is popping up all over the internet and Cloud seems to be on the rise. This is only scratching the surface on what is already available and what will become available throughout 2017. --- 3 Types of Cloud Computing Services - IaaS PaaS SaaS Explained https://www.youtube.com/watch?v=36zducUX16w #CloudComputingServices #CloudComputing --- Follow us on https://www.facebook.com/EcourseReviews https://twitter.com/EcourseReviews https://plus.google.com/+Ecoursereview/posts https://ecoursereview.com/
Views: 324886 Ecourse Review
Stanford Seminar - The Case for Learned Index Structures
 
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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: 743 stanfordonline
Entity Relationship Diagrams - Chapter 2
 
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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: 1105 AO DBA
How to Structure Firebase (NoSQL) Data | Firebase with Abe (Google Developer)
 
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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: 11219 Academind
3. Systems Modeling Languages
 
01:41:38
MIT 16.842 Fundamentals of Systems Engineering, Fall 2015 View the complete course: http://ocw.mit.edu/16-842F15 Instructor: Olivier de Weck This lecture covered a lot of ground on various systems modeing languages used in a design process. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 9649 MIT OpenCourseWare
The Best Way to Prepare a Dataset Easily
 
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In this video, I go over the 3 steps you need to prepare a dataset to be fed into a machine learning model. (selecting the data, processing it, and transforming it). The example I use is preparing a dataset of brain scans to classify whether or not someone is meditating. The challenge for this video is here: https://github.com/llSourcell/prepare_dataset_challenge Carl's winning code: https://github.com/av80r/coaster_racer_coding_challenge Rohan's runner-up code: https://github.com/rhnvrm/universe-coaster-racer-challenge Come join other Wizards in our Slack channel: http://wizards.herokuapp.com/ Dataset sources I talked about: https://github.com/caesar0301/awesome-public-datasets https://www.kaggle.com/datasets http://reddit.com/r/datasets More learning resources: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-prepare-data http://machinelearningmastery.com/how-to-prepare-data-for-machine-learning/ https://www.youtube.com/watch?v=kSslGdST2Ms http://freecontent.manning.com/real-world-machine-learning-pre-processing-data-for-modeling/ http://docs.aws.amazon.com/machine-learning/latest/dg/step-1-download-edit-and-upload-data.html http://paginas.fe.up.pt/~ec/files_1112/week_03_Data_Preparation.pdf Please subscribe! And like. And comment. That's what keeps me going. And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 150460 Siraj Raval
How to add a new node to a HP Vertica database Cluster
 
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Video tutorial on how to How to add a new node to a HP Vertica database Cluster For more Database Administration articles and scripts go to www.aodba.com & www.verticablog.com More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 996 AO DBA
ArcSWAT Model Tutorials 1 of 3
 
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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.
Entity Relationship Diagrams - Chapter 2
 
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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
Searching Databases
 
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Learn about Unitec Library databases and see an example of searching for journal articles using the EBSCO database. Transcript: Kia Ora. A database is a collection of information in electronic format including journal articles, conference papers, newspaper articles and more. To access Unitec’s library of databases, click on the ‘Subject and Study Guides’ button under ‘Popular Resources’ on the Hompage. Choose your subject from the list. Most subjects have a ‘Database’ button in the Main Menu. Different subjects have different databases. Most of them use similar search principles with slightly different user interfaces. This is the popular EBSCO Business Database. And this is an example of another database called Emerald Insight. Before searching any database, consider the keywords that best describe your topic. Here is an example of a search on the EBSCO database. To access the database click on ‘Education’ under the ‘Subject and Study Guides’. Click on the ‘Databases’ button in the menu, then click on ‘EBSCO education databases’ to begin your search. To search specific databases, tick the boxes or alternatively tick the ‘Select All’ box. Type your keyword or keywords, for example “early childhood education” and “Zealand”. You will get a few hundred results. Use the “Refine Results’ tool, on the left-hand side of the page, to limit your results to specific years, subjects, source types, language, etc. You can also limit your search to full text and scholarly journals. Click on the article title for more information. Click on the ‘PDF Full Text’ button to access the original article. Most databases allow you to email articles and PDFs to yourself. Click on the ‘E-mail’ button and fill in your details. These are the steps to search the EBSCO database. The principles are similar for the other databases in the Unitec library. Click on ‘Online Tutorials’ under the ‘Help and How To’ section of the Homepage for more information on databases and how to search more effectively. Thanks for watching and remember the Library staff are here to help. Please contact us if there is anything we can do for you and check out our other online tutorials for more tips on how to get the most from your library. Ka kite anō.
Mapping Entities to a Table - Chapter 4
 
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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: 669 AO DBA
Part 29   Using data transfer object as the model in mvc
 
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In this video we will discuss, using data transfer object as the model in mvc. Please watch Part 28, before proceeding. Let's say the business requirement is such that, we want to display total number of employees by department. At the moment, either the Employee or Department class does not have Total property. This is one example, where a Data Transfer Object can be used as a model. Right click on the "Models" folder and add a class with name="DepartmentTotals.cs". Copy and paste the following code. public class DepartmentTotals { public string Name { get; set; } public int Total { get; set; } } Now add the following "EmployeesByDepartment" controller action method to EmployeeController class. public ActionResult EmployeesByDepartment() { var departmentTotals = db.Employees.Include("Department") .GroupBy(x =] x.Department.Name) .Select(y =] new DepartmentTotals { Name = y.Key, Total = y.Count() }).ToList(); return View(departmentTotals); } At this point, build the solution, so that the newly added DepartmentTotals class is compiled. Now right click on "EmployeesByDepartment" action method in "EmployeeController" and select "Add View" from the context menu. View name = EmployeesByDepartment View engine = Razor Select "Create a strongly-typed view" checkbox Model class = DepartmentTotals Model class = DepartmentTotals To list the employees in ascending order of total employee, use OrderBy() LINQ method as shown below. var departmentTotals = db.Employees.Include("Department") .GroupBy(x =] x.Department.Name) .Select(y =] new DepartmentTotals { Name = y.Key, Total = y.Count() }).ToList().OrderBy(y =] y.Total); To sort the list in descending order use, OrderByDescending() LINQ method. var departmentTotals = db.Employees.Include("Department") .GroupBy(x =] x.Department.Name) .Select(y =] new DepartmentTotals { Name = y.Key, Total = y.Count() }).ToList().OrderByDescending(y =] y.Total); return View(departmentTotals); Text version of the video http://csharp-video-tutorials.blogspot.com/2013/06/part-29-using-data-transfer-object-as.html Slides http://csharp-video-tutorials.blogspot.com/2013/09/part-29-using-data-transfer-object-as.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
Views: 115070 kudvenkat
An Introduction to Temporal Databases
 
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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: 4532 Postgres Conference
How To Design An App - Part 06 - Adding a Data model
 
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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
Modeling Basics – Creating Your First Model
 
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Download the original webinar and resources from: http://sparxsystems.com/resources/webinar/getting-started-with-ea/13-5/first-model If you're just getting started with modeling for analysis and design, this session is for you! We'll step you through how to create your first modeling project in Enterprise Architect. We'll also explain some basic modeling concepts along the way, such as how elements in the model hierarchy relate to the diagrams you draw. In this webinar you'll learn: * How to create a new modeling project in Enterprise Architect * The role of elements in the model hierarchy and diagram views * Some easy ways to share your work with other stakeholders
Views: 26990 Sparx Systems
Hierarchical Queries: Databases for Developers #16
 
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Often data contains a parent-child relationship between rows in the same table. For example, company org charts and family trees. You can use the power of SQL to traverse these hierarchical relationships. There are two ways to do this in Oracle Database: - Connect By - Recursive With Watch this video to learn about data trees and find out how these work! Further reading: Hierarchical queries in the docs: https://docs.oracle.com/en/database/oracle/oracle-database/18/sqlrf/Hierarchical-Queries.html#GUID-0118DF1D-B9A9-41EB-8556-C6E7D6A5A84E Recursive subquery factoring in 11.2: https://oracle-base.com/articles/11g/recursive-subquery-factoring-11gr2 Take the course! https://devgym.oracle.com/pls/apex/dg/class/databases-for-developers-next-level.html Need help with SQL? Ask us over on AskTOM: https://asktom.oracle.com Twitter: https://twitter.com/ChrisRSaxon Daily SQL Twitter tips: https://twitter.com/SQLDaily All Things SQL blog: https://blogs.oracle.com/sql/ ============================ The Magic of SQL with Chris Saxon Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 2097 The Magic of SQL
Spatial Vizulization of SWAT Data | SWAT Model
 
04:32
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
Part 11  Using business objects as model in mvc
 
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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: 322785 kudvenkat
Anusua Trivedi: An example of Predictive Analytics: Building a Recommendation Engine using Python
 
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PyData Seattle 2015 Recommendation systems are needed to locate appropriate data on same topic or on similar topics of interest. In this talk, I will describe a recommender system framework for PubMed articles. I will present the background and motivation for these recommendation systems, and discuss the implementations of this PubMed recommendation engine with codes and examples. One of the most popular features of Big Data is predictive analytics. Predictive analytics is a form of business intelligence gathering. Far from the latest business buzzword, predictive analytics is a set of techniques that have become fundamental to the business strategies. In this tutorial, we will cover an example of predictive analytics through implementing a recommendation engine using python. A recommendation engine (sometimes referred to as a recommender system) is a tool that lets algorithm developers predict what a user may or may not like among a list of given items. It is very common now a day to have access to large amount of data on similar or related topics. Recommendation systems are needed to locate appropriate data on same topic or on similar topics of interest. In this talk, I will describe a recommender system framework for PubMed articles. PubMed is a free search engine that primarily accesses the MEDLINE database of references and abstracts on life-sciences and biomedical topics. The proposed recommender system produces two types of recommendations – i) content-based recommendation and (ii) recommendations based on similarities with other users' search profiles. The first type of recommendation, viz., content-based recommendation, can efficiently search for material that is similar in context or topic to the input publication. The second mechanism generates recommendations using the search history of users whose search profiles match the current user. In the talk I will present the background and motivation for these recommendation systems, and discuss the implementations of this PubMed recommendation system using python. Slides available here: http://www.slideshare.net/PyData/an-example-of-predictive-analytics-building-a-recommendation-engine-using-pythonanusua-trivedi
Views: 13998 PyData
EMF, myself and UI
 
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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: 1733 Eclipse Foundation
Retrieving Full Text Articles from Electronic Databases
 
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Briefly demonstrates how to access full-text articles from electronic databases when you have sufficient citation information.
Views: 236 Rebecca Fiedler
#Kscope15 Interview: Kent Graziano, Data Warrior
 
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#ODTUG Board Member Mike Riley interviews Kscope15 presenter and Chi Gung leader Kent Graziano. For more information on Kscope15 please visit http://kscope15.com. Bio: Kent Graziano, Data Warrior ORACLE ACE DIRECTOR Kent Graziano is the owner of Data Warrior in The Woodlands, Texas. He is a Certified Data Vault Master and Data Vault 2.0 Architect, Oracle ACE Director, and expert data modeler and data warehouse architect with over 30 years of experience in multiple IT roles, including over 25 years using Oracle (since version 5) and Oracle tools, and doing data warehousing. Kent has written numerous articles and delivered over 50 presentations (both nationally and internationally). He is a lifetime member of the Rocky Mountain Oracle Users Group (RMOUG) and the Oracle Development Tools User Group (ODTUG) and member of the Houston and Austin Oracle Users Groups. He is a former board member of the International Oracle Users Group and was the first dean of the IOUG University. He was also a co-instructor for data vault classes in the MSBI program for the Daniels College of Business at the University of Denver. Kent is also a member of the Boulder BI Brain Trust. Kent was the recipient of the 1999 Chris Wooldridge Award (from IOUG) for outstanding contributions to the Oracle user community. In 2003, he was presented with the Doug Faughnan Award for his dedicated service and outstanding contributions to RMOUG. In 2007, he was the recipient of the ODTUG Volunteer Award. In 2005, he was named one of the first Oracle ACEs by Oracle Corporation. Kent is a co-author of The Data Model Resource Book, Oracle Designer: A Template for Developing an Enterprise Standards Document and The Business of Data Vault Modeling. He is also the co-editor of the new data vault technical book Super Charge Your Data Warehouse. Session: Introduction to Oracle SQL Developer Data Modeler Topic: Database Development - Subtopic: Design SQL Developer Data Modeler (SDDM) is a full-function data modeling tool provided for free by Oracle. It has many features built in that can be leveraged to capture the design of an existing (probably undocumented) database and re-engineer it, or you can use it to design a new database, even a data warehouse, from scratch. There are features to apply standards, and then generate DDL to implement your newly standardized design. You can even use one logical model to develop multiple physical models that can be deployed to different RDBMS. You even have options on the type of notation used in the diagrams (i.e., Barker, IE, etc.). This presentation will start from a totally blank page and provide lots of examples and tips on how to do all this so the attendees can go back to the office and quickly be productive. Session: Worst Practices in Data Warehouse Design Topic: Database Development - Subtopic: Design After many years of designing data warehouses and consulting on data warehouse architectures, I have seen a lot of bad design choices by supposedly experienced professionals. A sense of professionalism, confidentiality agreements, and some sense of common decency have prevented me from calling people out on some of this. No more! In this session, I will walk you through a typical bad design like many I have seen. I will show you what I see when I reverse-engineer a supposedly complete design and walk through what is wrong with it. This will be a test of your knowledge of data warehouse best practices by seeing if you can recognize these worst practices. For more information on ODTUG go to ODTUG.com To be a part of Kscope16 go to http://kscope16.com.
Views: 32 ODTUG
DistributableStream: A Java 8 Stream Computational Model for Big Data Processing
 
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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: 1471 Oracle Developers
Building an Efficient Database for your Research
 
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Expand your clinical database knowledge with the Society of Critical Care Medicine’s (SCCM) newest webcast, Building an Efficient Database for Your Research, which will discuss strategies for versatile and easy-to-use database design to save extensive amounts of time on the back end. During this webcast, faculty will describe the planning process of creating a database, review accurate and efficient data acquisition options, and provide an overview of a basic approach to data cleaning. Whether designing a clinical trial or retrospective cohort study, building an effective database is a critical skill in conducting research involving the critically ill patient. This is a grant-sponsored webcast; it is complimentary for attendees. This webcast is brought to you by the Discovery Network, the critical care research network at SCCM.
Views: 120 Critical Care
SWAT-CUP | SWAT Model Calibration  | SUFI-2 Algoritham  | Auto-Calibration
 
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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
Part 17  Editing a model in mvc
 
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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: 166285 kudvenkat
MySQL Workbench Tutorial
 
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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: 1006901 MySQL
3D embryo model shows early human development in astonishing details
 
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Researchers have come up with a new 3D model of human embryonic development over the first two months of pregnancy. Known as the 3D Atlas and Database of Human Embryology, it constitutes an important new resource for the scientific community and may shed a light on why congenital defects sometimes develop. Current textbooks on early human development are for the most part outdated, as they rely on old articles and information published decades ago. Researcher Bernadette S. de Bakker, from the University of Amsterdam. told IBTimes UK: "It's fair to say that we currently know more about the Moon than about our own embryonic development. "The current textbooks all show the same kind of images based on embryonic specimens from the 1930s. Subsequent books kept using the image, only updating new molecular information." She and colleague Antoon F M Moorman, helped by biomedical students, used embryo samples to create a three-dimensional digital atlas and database spanning the first two months of human development using these samples. In total 15,000 samples from the Carnegie Collection of human embryonic specimens were analysed and included in the Atlas. The work included identifying and labelling about 150 organs and structures, establishing changes in the position of organs. "The 3D Atlas and Database of Human Embryology is the first to present such a large amount of data based on such a large number of human embryos. With this atlas and database we are able to quantify very precisely embryonic growth and the growth and position of specific organs," de Bakker says. How the model may be used The model contributes an important advance for scientists working on early human development and development-related diseases. It indeed solves a number of questions regarding kidney and gonad development in the human embryo. It also confirms that there are important differences between human embryos and mice and chicks embryos, which are often used as models to study mammalian embryo development. Identifying these differences is crucial so that they can be taken into account during such research. "The atlas is useful because to study how congenital malformations appear it is important to know how normal human embryonic development occurs. Doctors will now be able to show pregnant women how and when congenital malformations occur. For scientists who study how toxic substances can affect embryonic development, this knowledge could help refine the chick and mice models they work with." concludes de Bakker.
Introduction into Vertica Database Fault Groups
 
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Introduction into Vertica Database Fault Groups More Articles, Scripts and How-To Papers on http://www.aodba.com
Views: 545 AO DBA
RFM Secrets (3 of 3) Making Money with Data
 
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While Recency Frequency Monetary is fundamental to customer scoring and modeling, yet there is very little literature about exactly how to do it. http://e-RFM.com includes several scoring articles including an entire book - on-line dedicated to RFM. Here, John lays out simple concepts for building your RFM scores. Near the end, he even hints at some powerful secrets slightly beyond normal RFM.
Views: 2395 Miglautsch Marketing
Robert Meyer - Analysing user comments with Doc2Vec and Machine Learning classification
 
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Description I used the Doc2Vec framework to analyze user comments on German online news articles and uncovered some interesting relations among the data. Furthermore, I fed the resulting Doc2Vec document embeddings as inputs to a supervised machine learning classifier. Can we determine for a particular user comment from which news site it originated? Abstract Doc2Vec is a nice neural network framework for text analysis. The machine learning technique computes so called document and word embeddings, i.e. vector representations of documents and words. These representations can be used to uncover semantic relations. For instance, Doc2Vec may learn that the word "King" is similar to "Queen" but less so to "Database". I used the Doc2Vec framework to analyze user comments on German online news articles and uncovered some interesting relations among the data. Furthermore, I fed the resulting Doc2Vec document embeddings as inputs to a supervised machine learning classifier. Accordingly, given a particular comment, can we determine from which news site it originated? Are there patterns among user comments? Can we identify stereotypical comments for different news sites? Besides presenting the results of my experiments, I will give a short introduction to Doc2Vec. www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 14168 PyData
Adding Geospatial Context to Big Data with Risk Terrain Modeling (RTM)
 
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Risk Terrain Modeling (RTM) is an approach to spatial risk assessment that makes connections among the activities and interactions of people at places. It diagnoses how features of the physical environment attract and influence certain behaviors at specific places. This diagnosis makes very accurate forecasts of events, such as crime, and it produces actionable information that is used to deploy resources, solve-problems, and reduce risks in transparent and sustainable ways. This webinar provides an overview of RTM as well as concrete examples of how it is used for risk governance, where the focus is on places, not people. Presenter: Joel M. Caplan is Associate Professor at the Rutgers University School of Criminal Justice and Deputy Director of the Rutgers Center on Public Security, where he co-developed Risk Terrain Modeling (RTM). His applied research focuses on risk assessment, spatial analysis, and policing. Joel has published dozens of journal articles, books and book chapters, and he routinely consults agencies in the US and around the world on matters of public safety and national security. He has professional experience as a police officer, 9-1-1 dispatcher, and emergency medical technician. He earned his PhD from the University of Pennsylvania.

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