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
If your title starts with the words "chief data," here are four areas where you can make a big impact in your job.
- By Hannah Smalltree
- June 28, 2021
Does your data management strategy need an upgrade? These five principles can help you get started.
- By Troy Abraham
- June 21, 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
Liberating mainframe data and enabling newer and more agile analytics activities is becoming increasingly common and is no longer an unusual or experimental practice.
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