Data Modeling News, Articles, & Education

Testing the Accuracy of Your Predictive Data Models

bullseye

by Angela Guess Victoria Garment of Software Advice recently wrote, “In data mining, data scientists use algorithms to identify previously unrecognized patterns and trends hidden within vast amounts of structured and unstructured information. These patterns are used to create predictive models that try to forecast future behavior. These models have many practical business applications—they help banks…

Data Model Bloggers: NULL

Get Blogging!

by Karen Lopez Last year I hosted a session on Getting Started in Blogging for Data Professionals at Enterprise Data World. I had a great turnout considering the topic and time (I think 50+ people). We had a good discussion about blogging, social media and how most of the discussions on the Internet had moved from…

Relationships and Computational Spaces

Relationships

by Michael Brackett Identifying, understanding, and managing relationships is crucial to the proper design and development of an organization’s data resource.  However, most data management professionals don’t consider the importance of the wide range of relationships in an organization’s business and very few consider relationships with respect to the mathematical or computational spaces.  The result…

Featured Video: Why Logical Data Models are Important

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Why Logical Data Models are Important from DATAVERSITY by Angela Guess Enterprise Data World 2014 is getting closer, and we’re preparing by rewatching some of our favorite presentations from last year. One such presentation came from Missy Whitmann, Information Modeling Engineer Specialist at American Family Insurance. Whitmann told us all Why Logical Data Models are Important.…

Webinar: State of the Union of Data Modeling

Modeling with Graeme

Big Challenges in Data Modeling: State of the Union of Data Modeling from DATAVERSITY This Month’s Topic Focus: State of the Union of Data Modeling About the Presentation We invite you to join us in this monthly DATAVERSITY webinar series, “Big Challenges with Data Modeling” hosted by Karen Lopez. Join Karen and two or more…

Data Modeling In The Age Of NoSQL And Big Data

Data Modeling Big Data

by Jennifer Zaino Hadoop Hbase. MongoDB. Cassandra. Couchbase. Neo4J. Riak. Those are just a few of the sprawling community of NoSQL databases, a category that originally sprang up in response to the internal needs of companies such as Google, Amazon, Facebook, LinkedIn, Yahoo and more – needs for better scalability, lower latency, greater flexibility, and…

Data Visualization: 3 Mistakes to Avoid

Linkedin maps data visualization

by Angela Guess Noah Iliinsky of Information Week recently wrote, “There has been a lot of talk about data visualization lately — almost as much as there has been about big data. We’re told that visualization is the best way (or the only way) to understand data, and that if we’re not visualizing it, we’re missing…

New CA ERwin Release Bridges Gap Between Big Data and Traditional Data Sources

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by Angela Guess A new article out of the company reports, “CA Technologies [yesterday] announced a new release of CA ERwin CA ERwin® Data Modeler, the company’s industry-leading solution for collaboratively visualizing and managing business data across the enterprise in support of data governance, Big Data analytics, business intelligence and other initiatives. Organizations face ‘information overload’ as…

Featured Video: Big Challenges in Data Modeling

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Big Challenges in Data Modeling – Data Modelers and Project Managers from DATAVERSITY by Angela Guess Our weekly webinar series covers a broad range of topics in the world of data. A few weeks back, Karen Lopez of InfoAdvisors joined us for a spirited talk about data modeling. Her webinar was titled, “Big Challenges in…