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
As interest grows in new technologies, many enterprises are reconsidering their data warehouses. What makes graph databases different from traditional RDBMSs?
- By Steve Sarsfield
- May 28, 2019
Being ready for new data privacy regulations, why IT decision makers are concerned about security, and how to define roles for better data governance.
- By Upside Staff
- May 28, 2019
As enterprises adopt AI, they'll need a sound deployment framework that enables security, compliance, and session management.
- By Ramesh Mahalingam
- May 21, 2019
Despite the push into AI and ML, enterprises should be focused on the data platform.
- By James E. Powell
- May 14, 2019
A combination of relational and non-relational technologies opens the path for the level of adaptive, contextual information management urgently needed by modern business.
- By Barry Devlin
- May 13, 2019