Thursday, May 3, 2018

Self-service BI upgrades: Tableau targets data prep, Qlik eyes cloud, AI and big data; what Oracle 18c brings to the table

Information Management Digest

A roundup of information management content from TechTarget's network | May 3, 2018

TechTarget
FEATURED STORY
Tableau Prep tool aims to ease Tableau data preparation work
By Craig Stedman, Senior Executive Editor

Tableau users who previously had to rely on software from other vendors to prepare data for analysis now have a new option: Tableau Prep, the BI vendor's own tool. But whether it can fully meet data prep workloads remains to be seen.
(SearchBusinessAnalytics.com)

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NEWS
 
Qlik readies new Qlik Sense features for cloud, AI, big data

Self-service BI vendor Qlik is beginning to add a promised set of advanced functionality to its Qlik Sense software, but the new features will be delivered in stages across multiple releases.
(SearchBusinessAnalytics.com)

 
AI implementation is a winner-take-all race, analyst says

Your AI strategy should focus on business growth rather than efficiency, says McKinsey analyst Jacques Bughin -- advice that enterprises rarely hear when launching technology projects.
(SearchEnterpriseAI.com)

 
Cloud workloads see uptake,
but miles to go on databases

A picture of steady but not rapid migration to the cloud by Oracle users emerged at the Collaborate 18 conference, with database vets saying it's wise to be selective on what to move.
(SearchOracle.com)

 
GDPR requirements put focus
on data ethics, governance

The General Data Protection Regulation makes privacy paramount and reinforces the practice of good data governance -- and a new focus on data ethics may be an important side effect.
(SearchDataManagement.com)

EXPERT ADVICE
 

Oracle 18c features give DBAs incremental admin capabilities

Oracle Database 18c is really another version of 12c Release 2 with a different name. It doesn't contain major new features, but it does expand functionality in a variety of areas.
(SearchOracle.com)

 
Tips on designing and building
an effective AI infrastructure

Building an artificial intelligence infrastructure requires a serious look at storage, networking and AI data processing needs, combined with deliberate and strategic planning.
(SearchEnterpriseAI.com)

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