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Data modeling tools and techniques News
July 24, 2017
In many organizations, chief data officer jobs centered on defense against risk are giving way to ones emphasizing innovation. To do so, CDOs must nurture a data culture, MIT panelists said.
July 17, 2017
The chief data officer's next challenge may be to find storytellers who can explain machine learning for data science to decision-makers in the organization.
October 06, 2016
What's in your toolbox? October's issue of Business Information turns the tables and puts that burning question to Capital One and several other business intelligence and data analytics software users. As the burgeoning worlds of ...
April 29, 2016
Surging big data is changing data modeling techniques, including schema creation. The word from Enterprise Data World 2016: Data pros must adjust.
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Predictive modeling is a process that uses data mining and probability to forecast outcomes. Each model is made up of a number of predictors, which are variables that are likely to influence future results. Continue Reading
A data engineer is a worker whose primary job responsibilities involve preparing data for analytical or operational uses. Continue Reading
A data model can be thought of as a diagram or flowchart that illustrates the relationships between data. Although capturing all the possible relationships in a data model can be very time-intensive, it's an important step that shouldn't be rushed. Continue Reading
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Ted Hills, an enterprise architect at LexisNexis and the author of a recent book on NoSQL data modeling, discusses the ins and outs of database schema design in an era of big data disruption. Continue Reading
Even before the hot title of data scientist was fully defined, a complementary role began to bubble up: data engineer. Here's how they differ and why companies may need one, the other or both. Continue Reading
Consultant Dan Sullivan, author of "NoSQL for Mere Mortals," discusses some of the pertinent points for IT shops to consider before entering the new world of NoSQL databases. Continue Reading
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Big data algorithms are at the heart of some travel snafus of late. Increasingly, data analytics teams need to look deeper into how algorithms work and the data on which they feed. Continue Reading
Graph databases can help define and discover relationships between entities -- and offer increased flexibility and better usability than relational database management systems. Continue Reading
The JSON data-interchange format has increasingly found a home in Web applications. But XML is keeping its place in a publishing system at the American Psychological Association. Continue Reading
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Fact tables and dimension tables are used together in star schemas to support data analytics applications. But they play different roles and hold different types of data. Continue Reading
For many data management teams, going through application code is the only way to find NoSQL data models. But there are ways to change that, according to this Talking Data podcast. Continue Reading
The heat map tool and Automatic Data Optimization features in Oracle 12c should help Oracle database shops improve data storage and compression. Continue Reading