To overcome many issues related to data lakes, enterprises are turning to a more progressive data integration approach: data virtualization.
- By Ravi Shankar
- December 10, 2019
How to address the common challenges you'll face when moving data lakes to the cloud.
- By Ravindra Punuru
- October 25, 2019
From managing complexity to increasing scalability, we offer four reasons your enterprise can benefit from moving your data lakes to a cloud platform.
- By Ravindra Punuru
- September 3, 2019
We explain the role of two different types of data catalogs and how they can work together in your enterprise.
- By Ravi Shankar
- July 29, 2019
As data volumes grow and business information needs change, graph analytics can be a viable alternative to traditional analytics for specific problems. To assess whether graph analytics fits into your enterprise, you need to understand what graph analytics is and where you can use it.
- By Troy Hiltbrand
- June 14, 2019
New requirements for data, software, and business practices are driving a new wave of modernization for the operational data warehouse.
- By Philip Russom
- June 7, 2019
Developing use cases for graph databases and methods for accommodating multiple types of data stores.
- By Upside Staff
- June 4, 2019
Moving to a cloud-based data platform is a tall task, especially with so much data at stake. These tips can help.
- By Emily Washington
- March 19, 2019