Data Analytics at a Hyper Speed with Tableau 10.5

Posted by Rick Yvanovich

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Tableau 10.5 has officially been launched on January 10.  The latest release is expected to cement the Tableau’s position as a pioneer in data visualisation and analytics by delivering up to 5X improvement in query performance and 3X improvement in extraction.

Data Analytics at a Hyper Speed with Tableau 10.5

Boosting analytics performance with in-memory technology

The tremendous performance boost is made possible by Hyper, an in-memory data engine. Hyper will significantly improve the data ingest and analytical processing of very large data sets like those of internet of things applications.

Hyper in-memory technology allows for simultaneous transactional and analytical workloads. As a result, visual analytics is brought closer to the transactional systems that are underpinning many enterprises.

Read more: Tableau 10.2 is now available in the cloud

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One particular area where the performance is substantially improved is data extraction. Data extracts are snapshots of data from the sources that are stored in-memory. Their sizes can become very large and refreshing the extracts can take a lot of time. Hyper enables much faster query response times and extract refreshes.

Read more: Data Analytics for Manufacturing: the Tesla’s Case Study

Running on Linux

Tableau 10.5 also supports deployment on most popular distributions of Linux such as RHEL 7, CentOS 7, Oracle Linux, or Ubuntu 16.04 LTS.

Integrating Tableau 10.5 with existing Linux environments is easy and can be done either on premises or in the public cloud. User authentication can be controlled via LDAP, Active Directory, or local authentication, and use available Linux tools such as Bash and Yum.

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More data connections

In addition to the existing 75-plus data connectors, this release also adds a new connector to Box. It maintains the ability to connect to practically all web data through the Web Connector.

The Amazon Redshift connector is updated to ensure a deeper integration with AWS. Users can now use Tableau to analyse data in Amazon Redshift in conjunction with data in Amazon S3.

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Topics: Business Intelligence, Analytics

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 Rick Yvanovich
 /Founder & CEO/

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