Thursday, March 16, 2017

How to avoid Oracle's AWS, Azure cloud licensing hike; the value of data scientists; AI hype vs. reality

Information Management Digest

A roundup of information management content from TechTarget's network | March 16, 2017

TechTarget
FEATURED STORY
How to fight higher Oracle licensing costs in the AWS, Azure clouds
By Craig Guarente, Contributor

Oracle essentially doubled the number of processor licenses required to run its software in the AWS and Azure clouds, but Oracle shops can fight back. Here's how to avoid a bigger Oracle licensing bill.
(SearchOracle.com)

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NEWS
 
Enterprises tell how they get value from data science teams

Just hiring data scientists doesn't mean you'll get the full benefits of data science. Several analytics managers describe how they made the practice pay off for their companies.
(SearchBusinessAnalytics.com)

 
Data governance program
gets new start, broader focus

Businesses constantly need to evolve their programs for governing data. Nationwide's finance data governance team shares how it stepped up its strategy and processes.
(SearchDataManagement.com)

 
Experts urge caution when evaluating AI marketing claims

Last year saw a ton of hype around emerging artificial intelligence technologies. But as AI tools penetrate further into the enterprise, experts advise being realistic about them.
(SearchBusinessAnalytics.com)

 
Data streaming applications
set faster pace for analytics

The desire to accelerate operational decision-making, and gain a competitive edge, is leading organizations to deploy streaming analytics platforms fed by real-time data.
(SearchBusinessAnalytics.com)

EXPERT ADVICE
 

Real-time streaming needs
help from message brokers

Real-time analytics typically involves multiple streams of data that need to be properly organized and coordinated, a job that calls for new message queuing technologies.
(SearchBusinessAnalytics.com)

 
Using big data platforms for
data management and analytics

Big data systems often start with Hadoop, but most also include other platforms. This guide rounds up content on big data platform options and how to manage deployments of them.
(SearchDataManagement.com)

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