A new decade, a new phrase to conjure with. The "lakehouse" is generating some interest and debate, but it needs to prove itself as an architecture.
- By Barry Devlin
- March 10, 2020
From mining to machine learning, each form of advanced analytics has its own requirements for how data must be managed. Failing to satisfy these requirements leads to hamstrung analytics.
- By Philip Russom
- March 9, 2020
Data lakes pose compliance challenges. Here's how to overcome them.
- By Drew Schuil
- February 3, 2020
How can modern enterprises scale to handle all of their data? Tomer Shiran, cofounder and CEO of Dremio, told Upside why he thinks it's all about the data lake.
- By James E. Powell
- January 28, 2020
How to integrate legacy systems into an adaptive analytics fabric for the hybrid cloud.
- By David P. Mariani
- January 22, 2020
Three trends data professionals should pay attention to this year.
- By Steven Mih
- January 3, 2020
Data management solutions are modernizing furiously to keep pace with new analytics, data usage, emerging technologies, and business innovations.
- By Philip Russom
- December 19, 2019
Metadata finally makes the big time, but how big and for how long? The answers lie in traditional data warehousing principles.
- By Barry Devlin
- December 16, 2019