Before tackling the complexity of disparate data sources, you need to understand how semantic abstraction layers can save you from a world of pain.
Promoting data science, picking realistic projects, and people skill development are the top three priorities for chief data scientists right now.
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
The past year has seen major changes in business from the growth of the virtual company with employees working from home to an accelerated move to the cloud. How can enterprises secure their data in this rapidly changing environment? HelpSystems' Kate Bolseth answers our questions.
- By James E. Powell
- June 25, 2021
Why data governance depends on a single source of truth, how companies are doing with the GDPR, and basic principles for data classification.
- By Upside Staff
- June 24, 2021
In the world of containers and storage, it can be difficult to navigate the myriad options available. This guidance can help you sort out two options.
- By Kirby Wadsworth
- June 23, 2021
Does your data management strategy need an upgrade? These five principles can help you get started.
- By Troy Abraham
- June 21, 2021