Search results “Data modeling principles”
What is Dimensional Modeling
Description – Dimensional modeling is set of guidelines to design database table structure for easier and faster data retrieval. It is widely accepted technique. Big benefits of using dimensional modeling is its simplicity and faster query performance. In this tutorial, we will talk about Dimensional modeling in Data Warehouse and will see how it is different from ER modeling. We will understand the concept and then we will look into process to design dimensional models. Subscribe - https://www.youtube.com/channel/UCKKcA2ZYYsXb5IUbOKKcRJQ About AroundBI : We are trying to create an educational platform with an aim to provide tutorials in a very simple and understandable way.
Views: 10153 aroundBI
01. Data Modeling Concepts - Overview
This video provides detailed information important concepts and terminology used during data modeling.
Views: 19658 Sandip M
The World is Flat:  Design Principles for Salesforce Data Modeling
Getting the data model right is critical for the performance, usability and maintainability of your Salesforce customizations and custom Force.com applications. As you have probably already experienced, the Force.com database is unlike any relational database you may have used in the past, and SOQL is definitely not SQL. Attend this session to learn why Force.com data modeling is important, how to resist the temptation to normalize the data model and instead apply patterns of denormalization, and what patterns and practices can be applied to balance the competing requirements of user experience, analytics, query performance, scalability and operations to design high-performing data models for Salesforce.
Views: 1057 Salesforce Developers
DW 2: What is Dimensional Modelling
Subscribe To Channel http://www.youtube.com/user/TheOresoft?feature=mhee Dimensional Model - Compared to the entity relationship model using in OLTP systems, the data model for the data warehouse is very simple. Also called a star schema, the model looks like a star, with one large central table joined to a set of smaller tables. The central table is called the fact table and the other tables are called dimensions. Please take Free Software Classes at http://mentorsnet.org
Views: 36489 Oresoft LWC
Principles of dimensional modeling - concepts
Project Name: e-Content generation and delivery management for student –Centric learning Project Investigator:Prof. D V L N Somayajulu
Views: 408 Vidya-mitra
CA - MDM Strategies + Data Modeling Practices
Data models are the foundation of all Master Data Management (MDM) initiatives. But this leads to many questions. What's the relationship of one to the other? What differentiates a MDM data model from a conventional data model? Do I need a data model before I start my initiative? How do I begin this process? How will my models evolve as my MDM needs change? Do I still need data models if I have outsourced my data management practices? The answer to that last question often surprises many: you need data models more than ever! Join us for a discussion around MDM and modeling practices. Topics covered will include: oWhat is MDM? oThe evolution of the data model oMDM data model considerations oPlanning and building an MDM strategy using modeling principles Presented by: Victor Rodrigues -- Database Consultant and Senior Software Engineer at TechXtend/Programmer's Paradise. 2011 06 15
Views: 1088 TechXtend
Topic modeling with R and tidy data principles
Watch along as I demonstrate how to train a topic model in R using the tidytext and stm packages on a collection of Sherlock Holmes stories. In this video, I'm working in IBM Cloud's Data Science Experience environment. See the code on my blog here: https://juliasilge.com/blog/sherlock-holmes-stm/
Views: 7785 Julia Silge
Relational Database Concepts
Basic Concepts on how relational databases work. Explains the concepts of tables, key IDs, and relations at an introductory level. For more info on Crow's Feet Notation: http://prescottcomputerguy.com/tmp/crows-foot.png
Views: 542609 Prescott Computer Guy
Why Do we Need Data Modeling
Introduction to Information Management System and Oracle SQL For Full Course Experience Please Go To http://mentorsnet.org/course_preview?course_id=4 Full Course Experience Includes 1. Access to course videos and exercises 2. View & manage your progress/pace 3. In-class projects and code reviews 4. Personal guidance from your Mentors
Views: 856 Oresoft LWC
About the Book Data Modeling Made Simple With PowerDesigner
Data Modeling Made Simple with PowerDesigner will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these principles with PowerDesigner. You'll build many PowerDesigner data models along the way, increasing your skills first with the fundamentals and later with more advanced feature of PowerDesigner.
Views: 196 Steve Hoberman
Big Data Architecture Patterns
This talk is part of Cerner's Tech Talk series. Check us out at http://engineering.cerner.com/ and @CernerEng This talk focuses on the real world experience on the architectural patterns and tools integrations used to solve real business problems with data. This will be a technical session that covers tools such as Hadoop and NoSQL data stores and how to use them for the right use cases. During the session we will dive into customer architectures and where they have had both successes and failures using a combination of tools to server both OLTP and OLAP workloads. Some of the successes will include large cost reduction in SQL licensing and SAN as well as reduction in overall data warehouse costs including ETL appliances and manpower. The other core focus will be on driving change into businesses and how these customers were able to become leaders or maintain leadership using the data at hand and a set of tools. About the Speaker: Eddie Satterly (@eddie_satterly) is the Chief Big Data Evangelist in the office of the CTO at Splunk. Prior to working at Splunk, he has been in a variety of roles such as engineer, architect, and CTO. Satterly has extensive experience with Apache Cassandra and Apache Hadoop and was named to the Apache Cassandra MVP board in 2012. In addition to his role at Splunk, Satterly serves on the advisory board of two data startups and is a frequent conference speaker.
Views: 148322 CernerEng
Database Design Tutorial
Database Design Tutorial utilizing Visio and Microsoft SQL Server Express 2014. This is an introduction to database design through the first three normal forms.
Views: 318627 GoSparker
Principles of Modeling
Tony Starfield shares his thinking and interactions with conservation modeling which have evolved over his 50 years of practice and experience.
Views: 1155 LandsResources
Concepts and Principles of Conceptual Data Modeling
Concepts and Principles of Conceptual Data Modeling Knowledge Engineering Course - fall 2011 Lecture video by Mustafa Jarrar at Birzeit University, Palestine. See the course http://jarrar-courses.blogspot.com/2011/09/knowledgeengineering-fall2011.html and http://www.jarrar.info
Views: 2601 Jarrar Courses
ETL Architecture In-Depth - Dimensional Modelling 101
A presentation by DWS Consultant Ross Leishman based on material from the Kimball Group's 4-Day Course - ETL Architecture In-Depth. This is the 1st of a 3-part series: Part 2: Intermediate Dimensional Modelling - http://youtu.be/Bk2a91BSMf8 Part 3: Advanced Dimensional Modeling - http://youtu.be/m49PclOSKpg Refer "The Data Warehouse Toolkit - The Complete Guide to Dimensional Modelling (2nd Edition) - R. Kimball, M. Ross. DWS Ltd is an Australian IT Company. www.dws.com.au
Views: 58254 DWS Ltd
Why Data Modeling Is Important
Views: 143 IT LearnMore
About the book Data Modeling Made Simple with ER/Studio Data Architect
Data Modeling Made Simple with ER/Studio Data Architect will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio.
Views: 204 Steve Hoberman
Dimensional Modeling
This video will help you to learn Dimensional Modeling concepts of Datawarehouse and make you understand the Schemas present in Datawarehouse for designing a model
Views: 2516 IBM Cognos Trainer
MongoDB Tutorial - Modeling with MongoDB
Learn more advanced front-end and full-stack development at: https://www.fullstackacademy.com In this tutorial, Nick Palenchar dives into some of the finer but overlooked details of setting up a non-relational database using MongoDB. Nick gives a brief refresher on the two ways one can set up a Schema and its subdocuments, then explains the pros and cons about using each one. He finishes with a real-world example of how to construct better, more efficient Schema's with Mongoose. By the end of the talk, you'll have a more informed view on techniques for working with MongoDB, as well as strategies for properly setting up Mongo models that better serve your app's needs and developers' workflow.
Views: 19150 Fullstack Academy
How to plan your SQL Server database | lynda.com tutorial
This SQL Server tutorial explores the basics of modeling a strong and error-free database. Watch more at http://www.lynda.com/SQL-Server-2008-tutorials/essential-training/71929-2.html?utm_medium=viral&utm_source=youtube&utm_campaign=videoupload-71929-0401 This specific tutorial is just a single movie from chapter four of the SQL Server 2008 Essential Training course presented by lynda.com author Simon Allardice. The complete SQL Server 2008 Essential Training course has a total duration of 6 hours and 54 minutes and explores how Transact-SQL is used to retrieve, update, and insert information SQL Server 2008 Essential Training table of contents: Introduction 1. Getting Started 2. Installing SQL Server 2008 R2 3. Tools and System Databases 4. Creating Databases 5. Importing Existing Data 6. Retrieving Data with SQL 7. Inserting and Updating Data 8. SQL Functions 9. Stored Procedures and Transactions 10. Core Administration Tasks 11. Backing Up and Restoring 12. Security Features 13. Reporting Services 14. Integration Services Conclusion
Views: 91540 LinkedIn Learning
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Warehousing | Edureka
***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** This Data Warehouse Tutorial For Beginners will give you an introduction to data warehousing and business intelligence. You will be able to understand basic data warehouse concepts with examples. The following topics have been covered in this tutorial: 1. What Is The Need For BI? 2. What Is Data Warehousing? 3. Key Terminologies Related To DWH Architecture: a. OLTP Vs OLAP b. ETL c. Data Mart d. Metadata 4. DWH Architecture 5. Demo: Creating A DWH - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Intelligence playlist here: https://goo.gl/DZEuZt. #DataWarehousing #DataWarehouseTutorial #DataWarehouseTraining Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course: Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like: 1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations 2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards 3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Data warehousing enthusiasts 2. Analytics Managers 3. Data Modelers 4. ETL Developers and BI Developers - - - - - - - - - - - - - - Why learn Data Warehousing and Business Intelligence? All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success. With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin. - - - - - - - - - - - - - - Please write back to us at [email protected] or call us at +91 90660 20866 for more information. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - Customer Review: Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
Views: 179965 edureka!
Salesforce Marketing Cloud - CRM Data Modeling (Overview) Part I
A brief, high-level overview of the 'hub & spoke' data model, which illustrates the synchronization of data between Marketing Cloud and Salesforce CRM (either Sales or Service Cloud) fields.
The principle of modelling
This video is a basic introduction of modelling. We hope this video will increase your understanding on model. Thank you for watching and do enjoy. Produced by: Najwa Anis Nani Music used: =Some happy soundtrack =We are the champion- crazy frog
Views: 480 anis najihah
XML & JSON Data Modeling Best Practices
Aprenda algumas práticas recomendadas ao modelar dados em XML e / ou JSON. Isso faz parte de uma série de tópicos de modelagem de dados. Neste tutorial, cobriremos o dimensionamento e granularidade de documentos, mantendo o modelo simples e compreensível e aplicando padrões de envelope.
Views: 561 BigData NoSQL
In the age of big data, is data modeling dead?
Has data modeling become obsolete? Does unstructured data make modeling impractical? Does NoSQL imply no data modeling? Learn what TDWI instructor, Aaron Fuller has to say on the topic. To learn more about the principles, practices, and techniques that are needed for effective modeling in the age of big data, attend TDWI San Diego, Sept. 20-25,1015. (https://events.tdwi.org/Events/San-Diego-2015/)
Views: 1011 TDWI
O'Reilly Webcast: MongoDB Schema Design: How to Think Non-Relational
One of the challenges that comes with moving to MongoDB is figuring how to best model your data. While most developers have internalized the rules of thumb for designing schemas for RDBMSs, these rules don't always apply to MongoDB. The simple fact that documents can represent rich, schema-free data structures means that we have a lot of viable alternatives to the standard, normalized, relational model. Not only that, MongoDB has several unique features, such as atomic updates and indexed array keys, that greatly influence the kinds of schemas that make sense. Understandably, this begets good questions: -Are foreign keys permissible, or is it better to represent one-to-many relations within a single document? -Are join tables necessary, or is there another technique for building out many-to-many relationships? -What level of denormalization is appropriate? -How do my data modeling decisions affect the efficiency of updates and queries? In this webcast, we'll answer these questions and more, provide a number of data modeling rules of thumb, and discuss the tradeoffs of various data modeling strategies. About Jared Rosoff: Jared is the Director of Product Marketing and Technical Alliances at 10gen. Before joining 10gen, Jared ran Product Development at Yottaa where he developed a real-time analytics engine on top of MongoDB and Ruby on Rails. Produced by: Yasmina Greco
Views: 86438 O'Reilly
Data Modeling for BigQuery (Google Cloud Next '17)
BigQuery is a different data warehouse, permitting new approaches to data modeling. To get the most out of this system, Dan McClary and Daniel Mintz examine where old assumptions of schema design come from, as well as how BigQuery allows them to challenge those assumptions to produce data models which are easier to query and more performant. Additionally, they examine this parallel evolution of assumptions in Business Intelligence, and how modern tools such as Looker can take full advantage BigQuery's flexible data models. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
Views: 10985 Google Cloud Platform
Power BI Modeling Best Practices for Business Users by Avi Singh
Power BI is a great tool for Business users everywhere. However, when I walk into a client and open their existing Power BI Models, I cringe! In one word, I find them "ugly". Learn-on-your-own business users, often lack the core principles and guidelines for Power BI Modeling. In this session, I want to share with you the key best practices and guidelines for building Power BI Models, which would make your Power BI models "beautiful", inside and out :-) For other great Youtube videos by Avi make sure and check out his feed at: https://www.youtube.com/PowerBIPro Follow us on Twitter - https://twitter.com/mspowerbi More questions? Try asking the Power BI Community @ https://community.powerbi.com/
Views: 27584 Microsoft Power BI
Big Challenges in Data Modeling - Data Model Patterns
Have you ever considered using pre-existing pattern models to jump start your database projects? Have you considered purchasing proprietary models? Did you know that there are hundreds of models available to you for free or for minimal cost? In this month's Data Modeling Challenges webinar, we discusses some of the benefits and gotchas of working with acquired models -- industry standard models, patterns, and other universal model concepts. We will chat about: The costs, benefits, and risks of working with industry standard data models The benefits of using industry standards in your package acquisition projects Choosing the right process Myths in working with pattern models What you should know before committing to project plans and estimates Lessons Learned Resources ...and whatever you, attendees, want to chat about. It's a conversation, not a presentation!
Dimensional Modeling
A tutorial on the concepts and practice of Dimensional Modeling, the Kimball Method.
Views: 2787 Bryan Cafferky
The Lost Art of Enterprise Data Modeling
We are missing great paintings from Raphael, Rembrandt, Bellini and Van Gogh. Like these great works, Enterprise data modeling & data modeling in general are the forgotten arts of data management but we can’t blame the Axis powers for this. In this Data Management Moment, EWSolutions President David Marco illustrates how companies that embrace enterprise data modeling will have a key fundamental discipline for world-class data management.
Views: 234 EWSolutions
Modeling and Querying Data and Relationships in Salesforce
Table of Contents: 03:50 - Data Model and the Force.com Platform 04:27 - SObjects Drive Customization 06:56 - Standard Data Model 09:40 - Relationships: The Predefined Join 11:13 - Relationship Types 15:12 - Demo: Dreamhouse App 19:31 - SOQL 20:46 - From SQL to SOQL 21:23 - From SQL to SOQL: The Familiar Bits 22:46 - From SQL to SOQL: Immediate Differences 24:58 - From SQL to SOQL: Differences to Learn 26:35 - The __c and __r Suffixes 28:41 - Relationship Query: Child to Parent 30:39 - Relationship Query: Parent to Child 31:52 - Querying for Intersection 32:57 - Aggregate Queries 33:34 - Demo 38:59 - Recap 41:13 - Concepts to Explore Further 42:09 - Read More 44:03 - Q&A
Views: 3924 Salesforce Developers
Data Modeling for Power BI
A data model is like the foundation for your house, get it right and everything else goes better. Join the Power BI desktop team in this session to learn about the key steps, and best practices, you need to take to ensure a good data model.
Views: 77334 Microsoft Power BI
The Basics of Dimensional Data Modeling
Join us as we introduce the basics of dimensional data modeling.
Views: 483 SQL Prep
4 Step How To Design Dimensional Modelling DataWarehouse
Made By Collegers of Information Systems - ITS References : Kimball Group Book
Views: 23490 Ayu Nastiti
Data Science in 30 Minutes: Data Modeling the Stock Market Today with Quantopian's Jessica Stauth
The Data Incubator is joined by Jessica Stauth, Investment Managing Director of Quantopian, for the September 2018 installment of our free online webinar series, Data Science in 30 Minutes: Data Modeling the Stock Market Today - Common Pitfalls to Avoid. https://www.thedataincubator.com https://www.quantopian.com The lure of creating models to predict the stock market has drawn talent from fields beyond finance and economics, reaching into disciplines such as physics, computational chemistry, applied mathematics, electrical engineering and perhaps most recently statistics and what we now refer to as data science. The attraction is clear - the stock market (and the economy/internet at large) throws off massive and ever increasing reams of data from garden variety time-series to complex structured data sets like quarterly financials, to unstructured data sets like conference call transcripts, news articles and of course — tweets! While all this data holds promise - it also holds traps and blind alleys that can be deceptively tricky to avoid. In this session we’ll review some of the common (but not easy!) pitfalls to avoid in creating models for predicting stock returns; overfitting & exploding model complexity, non-stationary processes, time-travel illusions, under-estimation of real-world costs, and as many more as we have time to cover. About the speakers: Jess Stauth Dr. Jessica Stauth is the Investment Managing Director at Quantopian, a crowd-sourced quantitative investment firm, that inspires talented people from around the world to write investment algorithms. Jess and her team are in charge of selecting the algorithms from the Quantopian community, for our portfolio. Quantopian offers license agreements for algorithms that fit our investment strategy, and the licensing authors are paid based on their strategy's individual performance. Previously she has worked as an equity quant analyst at the StarMine Corporation and as a Director of Quant Product Strategy for Thomson Reuters prior to joining Quantopian in August of 2013. Jess holds a PhD from UC Berkeley in Biophysics. Michael Li founded The Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists and quants. The program is free to Fellows, employers engage with the Incubator as hiring partners.Previously, he worked as a data scientist (Foursquare), Wall Street quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He completed his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall Scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup to focus on what he really loves.Michael lives in New York, where he enjoys the Opera, rock climbing, and attending geeky data science events.
Views: 944 The Data Incubator
About the book Data Modeling Made Simple with CA ERwin Data Modeler r8
Data Modeling Made Simple with CA ERwin Data Modeler r8 will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these principles with CA ERwin Data Modeler r8. You’ll build many CA ERwin data models along the way, mastering first the fundamentals and later in the book the more advanced features of CA ERwin Data Modeler.
Views: 190 Steve Hoberman
Difference between ER Modeling and Dimensional Modeling
http://www.dbvidya.com/course/dimensional-modeling/ http://www.dbvidya.com/course/er-modeling/ [email protected] +91 991 2323 000 Oracle Performance Tuning Online Training : http://www.dbvidya.com/course/performance-tuning-for-dba/ Oracle SQL Performance Tuning Training Online : http://www.dbvidya.com/course/sql-tuning-advanced/ Oracle Performance Tuning Videos Tutorial for DBA and Developers : http://www.dbvidya.com/oracle-performance-tuning-videos/ Oracle AWR Tutorial: http://www.dbvidya.com/course/oracle-awr/ Erwin Tool Online Training : http://www.dbvidya.com/course/erwin-tool/ ER Data Modeling Course : http://www.dbvidya.com/course/er-modeling/ Dimensional Modeling Training Online : http://www.dbvidya.com/course/dimensional-modeling/ Oracle Database Blogs : http://www.dbvidya.com/blog/
Views: 2248 DbVidya
chapter 7 principles of dimensional modeling and data warehousing database design
Subscribe today and give the gift of knowledge to yourself or a friend chapter 7 principles of dimensional modeling and data warehousing database design
Views: 14 slideshow pro
Data Modeling for Hadoop: What Is Hadoop?
This video is a sample from Skillsoft's video course catalog. After watching this video, you will be able to recognize basics of Hadoop, history, milestones, and core components.
Views: 129 Skillsoft YouTube
Object-oriented design: Identifying an inheritance situation | lynda.com tutorial
This object-oriented design tutorial discusses how to identify an inheritance situation and recognize the shared attributes and behaviors of programming objects. Watch more at http://www.lynda.com/Java-tutorials/Foundations-Programming-Object-Oriented-Design/96949-2.html?utm_medium=viral&utm_source=youtube&utm_campaign=videoupload-96949-0601 This specific tutorial is just a single movie from chapter six of the Foundations of Programming: Object-Oriented Design course presented by lynda.com author Simon Allardice. The complete Foundations of Programming: Object-Oriented Design course has a total duration of 3 hours and 1 minute, discusses the concepts of object-oriented design, and explores creating conceptual models of your program with design patterns, class and sequence diagrams, and unified modeling language tools Foundations of Programming: Object-Oriented Design table of contents: Introduction 1. Core Concepts 2. Object-Oriented Analysis and Design 3. Utilizing Use Cases 4. Domain Modeling (Modeling the App) 5. Creating Classes 6. Inheritance and Composition 7. Advanced Concepts 8. Object-Oriented Design Patterns 9. Object-Oriented Design Principles Conclusion
Views: 48097 LinkedIn Learning
Course Intro | DS220: Data Modeling
DS220 teaches you data modeling techniques essential to a successful Apache Cassandra™ and DataStax Enterprise deployment. You’ll learn conceptual data modeling techniques, principles and methodology, design techniques and optimization, and review select data modeling use cases. ABOUT DATASTAX ENTERPRISE 5 DataStax Enterprise 5.0, the database platform for cloud applications, includes Apache Cassandra 3.x with materialized views, tiered storage and advanced replication. Introduced in 5.0 is DataStax Enterprise Graph, the first graph database fast enough to power customer-facing applications, scale to massive datasets and integrate advanced tools to power deep analytical queries. Learn more at http://www.datastax.com/products/datastax-enterprise and https://academy.datastax.com/resources/whats-new-datastax-enterprise-50 CONNECT WITH DATASTAX Subscribe: http://www.youtube.com/c/datastax?sub_confirmation=1 Site: http://datastax.com Facebook: https://facebook.com/datastax Twitter: https://twitter.com/datastax Linkedin: https://www.linkedin.com/company/datastax http://feeds.feedburner.com/datastax https://github.com/datastax ABOUT DATASTAX ACADEMY On the DataStax Academy YouTube channel, you can find tutorials, webinars and much more to help you learn and stay updated with the latest information on DataStax Enterprise©. Create an account on https://academy.datastax.com to watch our free online courses, tutorials, and more.
Views: 184 DataStax Academy
1.1.3-Introduction: Mathematical Modeling
These videos were created to accompany a university course, Numerical Methods for Engineers, taught Spring 2013. The text used in the course was "Numerical Methods for Engineers, 6th ed." by Steven Chapra and Raymond Canale.
Views: 87694 Jacob Bishop
Chapter 10: Conceptual Data Modeling and The ER Diagram.mp4
Created By: Michelle Katrin R. Posas
Views: 464 PUPT BSIT
Data Warehousing - An Overview
This video aims to give an overview of data warehousing. It does not delve into the detail - that is for later videos. Here, you will meet Bill Inmon and Ralph Kimball who created the concept and the commercialised it respectively. You then get a quick tour of the basic concepts used in data warehousing.
Views: 321205 Andy Wicks
Barry's Introduction to his Tutorial on Data Modelling
A short intro to the Tutorial that Barry created at Microsoft's request which is on his Database Answers Web Site
Views: 2428 FunkyDBA

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