These four best practices can help your organization quickly prepare data for analytics and fast-track its algorithms into production.
- By Kim Kaluba
- March 13, 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
H.Y. Li of Alluxio explains why the layers of your data platform are an essential part of your data strategy.
- By James E. Powell
- February 18, 2020
As you build your data science program, don't ignore that there are people working to disrupt your plans. Here are three attack vectors they can use and how to protect your data.
- By Troy Hiltbrand
- February 7, 2020
What emerging technology will enable data delivery? Why is data access so important today? Astera Software's CEO, Ibrahim Surani, shares his expertise.
- By James E. Powell
- February 4, 2020
Data lakes pose compliance challenges. Here's how to overcome them.
- By Drew Schuil
- February 3, 2020
New research from Trifacta reveals what's holding back analytics adoption, quantifies data prep tasks, and examines cloud use.
- By James E. Powell
- January 30, 2020
Data quality can help us build and maintain customer relationships that fuel real business growth.
- By Geoff Grow
- January 24, 2020