Thursday, April 27, 2017

SQL Server 2017 gets Python, graph data support; users point to machine learning use cases

Information Management Digest

A roundup of information management content from TechTarget's network | April 27, 2017

TechTarget
FEATURED STORY
SQL Server 2017 makes Python a first-class citizen for analytics
By Jack Vaughan, Senior News Writer

Python is no longer a database outsider at Microsoft. The programming language will ride along with R for use in analytics applications as SQL Server 2017 moves to its second preview release. CTP 2.0 also adds support for storing graph data.
(SearchSQLServer.com)

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NEWS
 
Analytics teams eye machine learning uses to boost business

Experienced users of machine learning tools share how their organizations are using the technology to meet a variety of analytics needs in their businesses and for customers.
(SearchBusinessAnalytics.com)

 
Uber has high hopes for its
open source visualization tool

A few months ago, Uber released a homegrown data visualization tool into the open source world. Now it hopes innovation on visualization will flow back into the ride-sharing company.
(SearchBusinessAnalytics.com)

 
Spark engine more at home in cloud now, Databricks CEO says

Corporate users are becoming more open to deploying big data systems with Apache Spark in the cloud, Databricks CEO Ali Ghodsi says in a Q&A on the open source processing platform.
(SearchDataManagement.com)

 
Analytics tools help Shazam identify music-app ad insights

After tiring of limited and ineffective Excel reports, music-identifying app maker Shazam turned to Salesforce Wave Analytics to extract insights and create reports from ad sales data.
(SearchSalesforce.com)

EXPERT ADVICE
 

Big data and data mining help users hone a competitive edge

Data mining may not be on the tip of people's tongues in these data science days, but advanced analytics applications won't get far without effective techniques for mining data.
(SearchBusinessAnalytics.com)

 
Businesses find creative ways
to maximize AI applications

In the battle to transform massive amounts of data into valuable insights, artificial intelligence applications might just be big data's sought-after equalizer. Read why in our latest e-zine issue.
(SearchDataManagement.com)

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