Friday, March 24, 2017

Three predictive modeling pitfalls to avoid; self-service BI's top priority; database DevOps comes to SQL Server

Information Management Digest

A roundup of information management content from TechTarget's network | March 23, 2017

TechTarget
FEATURED STORY
3 predictive modeling flaws that cripple data science projects
By Bridget Botelho, Editorial Director

Data science can be incredibly valuable if done right, but just as damaging if done wrong. Here, a data science expert discusses three common predictive modeling pitfalls.
(SearchBusinessAnalytics.com)

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NEWS
 
Ease of use is top priority in selecting self-service BI tools

A lot of factors go into a choosing a strong, modern BI tool. But several IT pros say ease of use trumped all other considerations for them when picking self-service analytics software.
(SearchBusinessAnalytics.com)

 
Redgate tools bring database DevOps to Visual Studio 2017

So far, data has been left out of the DevOps discussion. But database DevOps could grow if tools like Redgate's bundle embedded in Visual Studio 2017 carry through on their promises.
(SearchSQLServer.com)

 
NoSQL architectures engaged
for building new applications

Behind hyped terms like "digital transformation" are innovative systems of engagement. DataStax CEO Billy Bosworth joins this podcast discussion on the NoSQL databases often underlying them.
(SearchDataManagement.com)

 
Deloitte report reveals power
of unstructured data analytics

The analysis of unstructured data and other
so-called dark data types can deliver significant business value, according to a new report from consulting group Deloitte.
(SearchBusinessAnalytics.com)

EXPERT ADVICE
 

Conquer real-time operational analytics in SQL Server 2016

Analytics helps improve business operations, and SQL Server 2016 users can master it in real time, using operational data in a transactional database. Robert Sheldon explains how.
(SearchSQLServer.com)

 
Enterprise data lake deepens
big data management issues

Distributed data lakes with Hadoop clusters and other systems create new data management and governance needs that are hard to meet with existing tools, analyst Mike Ferguson says.
(SearchDataManagement.com)

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