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Data modeling tools and techniques News
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.
July 31, 2015
Database pioneer Michael Stonebraker told an MIT conference that data curation tools offer a step forward on data integration. Others said things are already progressing through other means.
June 08, 2015
Embarcadero’s XE7 ER/Studio tool suite intends to make data models a more intrinsic part of Agile development projects.
May 29, 2015
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.
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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
Analytics can help businesses make data-driven decisions, but common cognitive biases can skew how the information is interpreted. Continue Reading
Dimensional modeling can boost ad hoc reports, but may entail hidden development overhead, a data practitioner told EDW 2014 conference attendees. Continue Reading
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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
As relational database management systems handle more and more data, a strategic approach to data modeling has become vital. Continue Reading
The parallel processing platforms underpinning big data systems can help machine learning newbies and vets alike. TechTarget editors discuss how that may play out in this Talking Data podcast. Continue Reading
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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
NoSQL database technology is built for processing speed and data flexibility. But it needs a fuller feature set and more skilled workers to make it big in enterprise applications. Continue Reading
Hadoop and NoSQL haven't eliminated the need for database schemas, according to one expert. Instead, consider them flexible schemas waiting to be integrated. Continue Reading
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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
Find out how a large data warehouse system can benefit companies. Learn how enterprise data warehouses help meet business needs. Get tips on operational considerations for a central data warehouse. Continue Reading