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
A new way to look at GDPR, why governance and MDM go together, and trends in IT hiring.
- By Lindsay Stares
- October 5, 2017
Pie charts can be misleading or confusing, but they can also be just right for the data.
- By Lindsay Stares
- October 4, 2017
What data scientists think about their jobs, fallacies new data scientists should avoid, and why you should train citizen data scientists.
- By Lindsay Stares
- October 3, 2017
Many don't fully appreciate how critical data modeling is to understanding data. Modeling doesn't delay agile application development; it helps developers plan ahead.
- By Pascal Desmarets
- October 3, 2017
To understand how AI skills differ from the needs of other programming areas, consider what your AI toolbox might contain.
- By Brian J. Dooley
- October 2, 2017
To realize the power of artificial intelligence, start with data.
- By William McKnight
- September 29, 2017
How to more effectively judge data quality, handle issues with ETL, and manage digital transformation for your enterprise.
- By Lindsay Stares
- September 28, 2017
Creating interactive visualizations in the real world, using recursive shapes to explore patterns, and the art within pi.
- By Lindsay Stares
- September 27, 2017