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A Data Model Describes a Business

By   /  November 23, 2015  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Data Strategy Blogs, Data Strategy News, Articles, & Education  /  No Comments

Learn more about Donna Burbank. One of the things I love about data modeling, and data management in general, is that it gives me the opportunity to work with a variety of organizations around the world and understand what makes them run. In a sense, a good data modeler is a management consultant for information […]

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Press Release: Agenda Announced for the 2016 Enterprise Data World Conference in San Diego

By   /  November 18, 2015  /  BI / Data Science Conferences, BI / Data Science News, Big Data News, Big Data News, Articles, & Education, Conference and Webinar Communities, Data Conference Communities - Learn, Share, Review, Data Education, Data Governance & Data Quality | News & Articles, Data Governance News, Data Modeling News, Data Modeling News, Articles, & Education, Data Strategy News, Data Strategy News, Articles, & Education, Database News, Database News, Articles, & Education, Education Resources For Use & Management of Data, Enterprise Data World Conference Community, Enterprise Information Management, Information Management News, Press Room  /  No Comments

San Diego, CA – DATAVERSITY® and DAMA International announced the release of the agenda for the 20th annual Enterprise Data World Conference (EDW) on April 17th – 22nd, 2016, at the Sheraton Hotel & Marina in San Diego, California. Visit http://enterprisedataworld.com/ to review the agenda, event details, speakers, and registration options. The 2016 Enterprise Data […]

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Designing Your Database: Top 5 Mistakes to Avoid

By   /  November 2, 2015  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Data Strategy Blogs, Data Strategy News, Articles, & Education, Enterprise Information Management, Information Management Blogs  /  3 Comments

About Henrique Netzka Designing a database can be a very simple task, but can also become the biggest headache. Some mistakes you make can really compromise your project, and I can’t really imagine one person in this world who actually likes to migrate data between databases. So here’s me, gladly writing again to DATAVERSITY, and this […]

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Modeling Webinar: What’s New in Data Modeling

By   /  October 26, 2015  /  Conference and Webinar Communities, Data Education, Data Modeling News, Articles, & Education, Data Modeling Webinars, Data Webinars | On Demand Presentations, Education Resources For Use & Management of Data, Lessons in Data Modeling Community, Lessons in Data Modeling Webinars On Demand, Webinar Communities For the Data Industry, Webinars  /  1 Comment

  About the Webinar Even though data modeling has been around longer than most of your IT teammates (and in many cases, your teammate’s parents), there are exciting changings in the tool, methods and data modeling ecosystem. Join us for a fun, insightful look into where we’ve been and where we are heading. We’ll talk […]

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Miscellaneous Database Design Errors

By   /  October 26, 2015  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education  /  No Comments

by Michael Blaha This is the third and final blog in a series about database design errors. The two previous blogs addressed primary key and foreign key errors as well as confusion with many-to-many relationships. Now let’s discuss several other design errors. Our coverage is clearly not complete, but these are common mistakes that are […]

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Predictive Analytics Models Should Be a Team Effort

By   /  October 1, 2015  /  Data Daily | Data News, Data Education, Data Modeling News, Data Modeling News, Articles, & Education  /  1 Comment

by Angela Guess Ed Burns recently wrote for Search Business Analytics, “The work that goes into building predictive analytics models doesn’t stop once the code is written. To ensure that predictive modeling efforts deliver accurate and meaningful results, analytics managers say it’s important to continue testing analytical models and reworking them until they’re fully reliable […]

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More Database Design Errors – Confusion with Many-to-Many Relationships

By   /  September 30, 2015  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Database Blogs, Database News, Articles, & Education, Smart Data Blogs, Smart Data News, Articles, & Education  /  7 Comments

by Michael Blaha My last blog addressed primary key and foreign key errors. Now let’s look at errors with many-to-many relationships. A many-to-many relationship is an intersection of two entities. A person may own stock in multiple companies. A company can have multiple stockholders. The combination of a person and a company stock has an attribute […]

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Fundamentals of Data Modeling in Agile Environments

By   /  September 22, 2015  /  Conference and Webinar Communities, Data Articles | Data Science, Business Intelligence, & More, Data Conference Communities - Learn, Share, Review, Data Education, Data Modeling Articles, Data Modeling News, Articles, & Education, Education Resources For Use & Management of Data, Enterprise Data World Conference Community  /  No Comments

by Jelani Harper Numerous circles have lauded the agile process within Data Management for its inclusive, expeditious approach that supposedly involves different facets of the enterprise. According however to a special interest group entitled “ER/Studio and Data Modeling Special Interest Group” held at Enterprise Data World 2015, hosted by Karen Lopez of InfoAdvisors and Ron […]

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Data Modeling Today

By   /  September 22, 2015  /  Data Daily | Data News, Data Education, Data Modeling News, Data Modeling News, Articles, & Education  /  No Comments

by Angela Guess Ron Bodkin of Teradata recently wrote for Forbes, “Follow the mainstream technology hype machine and one could easily be led to believe that data modeling is dead.  The story goes something like, ‘Thanks to agile technologies like Hadoop and techniques such as schema on read, prescribed data modeling is now replaced by […]

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