Thursday, October 5, 2017

Big data's business potential -- and data management challenges; Larry Ellison on Oracle Database 18c

Information Management Digest

A roundup of information management content from TechTarget's network | Oct. 5, 2017

TechTarget
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Managing the big data ecosystem requires agility amid disruptions

Taking the raw data flowing into big data systems and making it useful adds new challenges for IT and analytics teams. Our Business Information e-zine looks at how four companies are handling the challenges and using big data to put themselves on new business paths.

Also in this issue: how AI, machine learning and the IoT are changing data management; the potential, and potential pitfalls, of semantic technology.
(SearchDataManagement.com)

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Ellison touts machine learning, database automation in 18c

Advanced machine learning is set to drive Oracle Database to success in the cloud, founder Larry Ellison claims. But the upcoming Oracle 18c isn't a threat to DBA jobs, he says.
(SearchOracle.com)

 
Natural language generation tools make enterprise inroads

Natural language generation software is gradually gaining a foothold in enterprises for use in analytics applications, as more businesses deploy emerging artificial intelligence software.
(SearchBusinessAnalytics.com)

 
MapR-DB uses NoSQL database to drive real-time analytics

The Strata Data Conference in New York saw Hadoop distribution vendor MapR Technologies update MapR-DB, its NoSQL database engine, to better perform in real-time analytics settings.
(SearchDataManagement.com)

 
Machine learning algorithms meet data governance

Machine learning algorithms may change computing, but they're a bit of a black box. Still, there are ways to tame them with flexible data governance, says startup exec Andrew Burt.
(SearchDataManagement.com)

EXPERT ADVICE
 

HR metrics require much
more than data to be effective

Data doesn't tell the whole story about employee performance and retention by itself, but more companies plan to use workforce analytics tools to aid in their staffing decisions.
(SearchHRSoftware.com)

 
Talking Data: How to make
data science and analytics pay

Businesses are still looking for ways to unleash the full benefits of data science and analytics. This podcast looks at how some companies are finding success and reaping the rewards.
(SearchBusinessAnalytics.com)

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