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TDWI Articles

Big Data


Executive Perspective: DataOps in Volatile Times

Chris Bergh describes himself as "CEO and Head Chef" of DataKitchen, a company that enables analytics teams to iterate and innovate with their DataOps platform. He shares his enthusiasm for DataOps in this interview, explaining what makes it so popular and what's driving its adoption, as well as how to get the most from AI.

Speeding Time to Value: How a Common Data Model Allows You to Do More with Less

Extracting insight from the masses of data inundating organizations is easier with a common data model. Here's an overview of its benefits.

Executive Q & A: Bursting Data to the Cloud

With so much data to store and analyze, no wonder hybrid cloud solutions are gaining favor. Haoyuan (H.Y.) Li, the founder and CEO of Alluxio, offers his perspective and best practices.

Executive Perspective: Text, Voice, and Facial Recognition

Natural language processing is helping enterprises analyze their data, but its complexities extend beyond understanding inputs and outputs. Behavioral Signals’ CEO, Rana Gujral, explains NLP’s strengths and weaknesses and compares text, voice, and facial recognition technologies.

A New Approach to Streaming Analytics That Can Track a Million Data Sources

Combining streaming analytics and in-memory computing can provide a potent tool for tackling new problems.

Benefits and Best Practices for Data Virtualization in the Real World

Ralph Aloe, director of enterprise information management at Prudential Financial, Inc., explains how his enterprise put data virtualization to use, including how the technology fits in with their data fabric, benefits they enjoyed, and lessons they learned.

3 Ways to Think About Data Post-COVID-19

Understanding your customers, employees, and market might make the difference between flourishing and going out of business during a crisis.

Executive Perspective: Solving the Big Challenges of Big Data

As your enterprise data volumes grow, you face significant changes. Ted Dunning, HPE's Data Fabric chief technology officer, explains the expected -- and unexpected -- challenges you'll face and how your data management practices will change accordingly.

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