Thursday, January 18, 2018

Hyper engine gives Tableau 10.5 more analytics power; Meltdown, Spectre and SQL Server performance

Information Management Digest

A roundup of information management content from TechTarget's network | Jan. 18, 2018

TechTarget
FEATURED STORY
Hyper engine aims
to give enterprise Tableau analytics a boost
By Ed Burns, Senior News Writer

The new Hyper in-memory data engine added in Tableau 10.5 could make the software's analytics capabilities more expansive, enabling it to handle higher-level use cases, like IoT analytics applications. That's part of Tableau's strategy to broaden its enterprise appeal.
(SearchBusinessAnalytics.com)

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NEWS
 
Meltdown, Spectre fixes cause SQL Server performance issues

Microsoft has responded to the Spectre and Meltdown chip vulnerabilities with patches and other fixes. But IT teams need to sort out SQL Server performance issues they may create.
(SearchSQLServer.com)

 
How to use machine learning
to build a predictive algorithm

Machine learning is an invaluable tool for solving business problems, but don't jump into it for predictive analytics applications without understanding these important factors.
(SearchBusinessAnalytics.com)

 
Q&A: Machine learning models require DevOps-style workflows

Big data is driving the use of AI and machine learning. But users must be swift to embrace DevOps processes and re-evaluate analytical models, Wikibon analyst James Kobielus says.
(SearchBusinessAnalytics.com)

 
Five SQL Server maintenance steps you should take -- ASAP

Putting off SQL Server administration tasks can lead to database problems. Enact these often-neglected maintenance items to help keep your SQL Server systems running smoothly.
(SearchSQLServer.com )

EXPERT ADVICE
 

Cosmos DB takes Azure cloud databases to a higher level

Azure Cosmos DB brings a new element to the database lineup of Microsoft's cloud platform, offering multiple data models and a scalable environment for distributed applications.
(SearchSQLServer.com)

 
Data analytics primer:
What is data preparation?

Data preparation is the process of gathering, combining, structuring and organizing data so it can be analyzed and visualized. Learn more about it in our updated definition.
(SearchBusinessAnalytics.com)

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