Why multimodel platforms and serverless APIs became more popular among data management vendors this year while hype for hyperledger platforms waned.
- By James G. Kobielus
- December 20, 2021
Enterprises must modernize their ETL processes to support cloud migration and other data and analytics strategies.
- By Amit Assudani
- September 22, 2021
Can ML help database administrators improve the performance of the systems they oversee? We asked Andy Pavlo about his research at Carnegie Mellon University and the future of automated tools.
- By James E. Powell
- September 7, 2021
Before tackling the complexity of disparate data sources, you need to understand how semantic abstraction layers can save you from a world of pain.
A pioneer in applying network science to biology discusses how data science, and data management in particular, are starting to generate highly useful life sciences insights.
- By Anthony Finbow
- June 30, 2021
In-memory computing brings computation together with data, leveraging data-aware execution, data locality and making it possible to dramatically improve performance and scalability for streaming analytics and machine learning. John DesJardins, CTO of Hazelcast, explains.
- By James E. Powell
- June 29, 2021
Data fabric technology is enjoying increasing scrutiny by enterprises, but with costs on the minds of every manager, where can enterprises expect to find a positive return on their investment? Here are four places to look.
- By Kendall Clark
- June 18, 2021
Speed is not a vanity metric when it comes to business intelligence because data is only as valuable as it is fresh, accurate, and actionable.
- By David P. Mariani
- June 7, 2021