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Data modeling tools and techniques News
February 22, 2018
In big data news, we find Google TPUs, or Tensor Processing Units, offered as a cloud service, while LinkedIn is open sourcing a Hadoop test simulator called Dynamometer.
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 ...
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Data modeling is the process of documenting a complex software system design as an easily understood diagram, using text and symbols to represent the way data needs to flow. Continue Reading
What's the difference between DDL and DML? Get the answer and see examples of data manipulation language and data definition language commands for SQL databases. Continue Reading
Predictive modeling is a process that uses data mining and probability to forecast outcomes. Continue Reading
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Oracle's cloud strategy includes machine learning jobs that differ from the usual SQL analytics. The company is turning to its DataScience.com purchase to fill the gap. Continue Reading
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
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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
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
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