For data lakes, as with any valuable enterprise data set, architecture is a requirement. But it is also a moving target, due to ongoing evolution.
- By Philip Russom
- May 29, 2020
Enterprises are modernizing their IT infrastructure as never before. Data virtualization should be a key part of their digital transformations.
- By Ravi Shankar
- May 26, 2020
Enterprises face conflicting and complex privacy and governance regulations that don’t make it easy to comply. These tips can help you get a handle on compliance.
- By David Yaffe
- May 18, 2020
When building your data and analytics program, you must decide whether you need a data warehouse, a data lake, or both. Understanding the difference is the first step.
- By Troy Hiltbrand
- May 1, 2020
Data warehouse architecture continues to evolve as users modernize their warehouses and as vendor, open source, and cloud provider communities roll out innovative new platforms.
- By Philip Russom
- April 21, 2020
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