For years, Hadoop users have been managing data in ad hoc and arbitrary ways. It's time for more method and less madness.
- By Philip Russom
- August 4, 2017
The prospect of chief machine learning officers, the future trends affecting data integration and cloud computing, and the problems with storing all data indiscriminately.
- By Lindsay Stares
- June 15, 2017
The data lake is still misunderstood by many data professionals.
- By Philip Russom
- June 13, 2017
Data lakes offer organizations many positives, but they also have the potential to grow aimlessly, consuming an ever-larger share of storage, computing horsepower, technology personnel, and budget.
- By David Stodder
- May 23, 2017
Real-time analytics, structuring a data lake governance program, and taking advantage of data storytelling.
- By Lindsay Stares
- April 11, 2017
Read about increasing security concerns with both consumer and industrial IoT devices and why you should consider a semantic layer with your data lake.
- By Lindsay Stares
- March 30, 2017
Experienced data management professionals are adopting Hadoop, and they want to use their SQL skills and tools with Hadoop data.
- By Philip Russom
- March 6, 2017
Find out if you need DevOps for big data, how to clean up a data swamp, and how big data helps protect actual wetlands.
- By Lindsay Stares
- February 28, 2017