Big Data and Analytics News & Reviews - Page 14
More Big Data and Analytics News
Using Delphix’s new platform, structured production data need not be moved anywhere. Virtualized clones of databases of any size can be moved, analyzed, fixed, added to, subtracted from and patched, then slid easily into the production server.
The company said it would use its $40 million in VC to support sales growth alongside the 2.0 release of its DataSphere software platform, which includes machine learning capabilities.
To say that startup Cohesity is attempting to be all things storage to all users is close to the truth.
Unlike traditional enterprise messaging software, Kafka is able to handle all the data flowing through a company, and do it in near real time. This is desperately needed as data volumes skyrocket.
New dashboards give marketers measurement expertise with KPIs, trends and segments for Facebook, Google Analytics, Moat and others.
Experience management provider makes major play in AI and machine learning as first step toward eliminating the need for CX analysts and data scientists.
Cray will add the ClusterStor product line to its DataWarp and Sonexion storage products and will supply additional development.
Entering its third month as a new acquisition of Infor, the company said the patents will further enable smarter and more efficient preparation, discovery and visualization of data.
GE Digital CEO and Chief Digital Officer Bill Ruh sits down for an eWEEK Q&A to explain the development of Predix and how the company is using it in the industrial internet of things.
LiveStories was started up to enable people to obtain truth in content, something that has been a basic human fault throughout history.
Open source-based data analytics application sets business analysts, data scientists and line-of-business professionals free to do their own querying in natural language.
Natural-language processing software fills much of the void for companies who are unable to hire data scientists, a job classification whose members are few and far between in the IT world.