Across industries, COVID-19 has exposed common data and data management challenges. These five key lessons are shaping post-COVID-19 expectations of data management and analytics.
- By Ben Sharma
- June 19, 2020
Before it can be used to train ML models, your data must be clean and consistent. These steps can help get your data in the proper shape.
- By David Langton
- May 27, 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
Fighting the COVID-19 pandemic is going to take data -- lots of it -- and that data will need to be shared easily and seamlessly. Here are the top six steps that we will need to take.
- By Birju Shah, Nick Jordan
- May 19, 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
What a difference a single letter makes in sorting out DMaaS and DCMaas.
- By Brian J. Dooley
- April 13, 2020