Extensive design and development effort has been expended over more than three decades to allow relational databases to handle time properly. Can data lakes manage it as well?
- By Barry Devlin
- December 4, 2017
You need these best practices to define the data lake and its methods.
- By Philip Russom
- October 16, 2017
Hadoop was a significant improvement when one gigabit networking was the norm, but a GPU database is a much better fit for real-time analytics than a traditional data lake.
- By Woody Christy
- October 6, 2017
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
How inflated requirements affect the data scientist market, the basics of object storage, and how to design more resilient data hierarchies.
- By Lindsay Stares
- July 6, 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