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Tableau Moves Into Data Preparation with ‘Project Maestro’


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At its annual global conference, Tableau Software which is known for its data visualization software, provided information about new products for 2017, as well as its product roadmap for the next 3 years.

Expanding the product portfolio beyond visual analytics to include self-service data preparation, Tableau will launch a new data prep product, codenamed “Project Maestro.” According to the vendor, Project Maestro will make it possible to prepare, integrate and transform data with a direct, visual approach, and will be available in 2017. Tableau customers interested in learning more about Project Maestro can visit www.tableau.com/project-maestro

Among other future product innovations announced by the company are a next generation in-memory data engine based on the Hyper technology acquired in March, 2016. Expected to be available in 2017, the Hyper data engine will provide interactive analysis while enabling fast data ingestion for near real-time analysis, the company says.

Tableau also revealed that a version of Tableau Server for the Linux platform, targeted for 2017 availability, will enable users of the open source operating system, including government organizations, educational institutions and businesses, to leverage the power of self-service analytics.

Natural language processing will bring new ways to interact with data through human language, Tableau is also adding instant analytics, a new capability that it says will automatically provide contextual information as users interact with their data to help them find insights faster, and the features will progressively become available throughout 2017 and beyond.

Helping enterprises govern their self-service analytics environment at scale, new functionality available in 2017 and beyond in Tableau Server certifies data sources, enables impact analysis on sources and workbooks, and promotes content and write workflows with simple drag and drop gestures.

In the area of new collaboration capabilities, data-driven alerting will make it easier for people to stay on top of their data enabled by notifications sent when key metrics exceed a specific threshold. In addition, users will be able to collaborate and discuss insights directly within an analysis to drive better business outcomes starting in 2017.

Tableau also demonstrated future plans to add a new machine learning recommendations engine to its platform in 2017. Algorithms will surface recommendations for workbooks and data sources that are trusted, highly used and contextually relevant to the individual workflow.

Supporting new hybrid data connectivity for the cloud, showcased a new live query agent that will act as a secure tunnel to on-premises data, making data behind the firewall easier to access and analyze with Tableau Online, Tableau’s SaaS managed service. This will be available in 2017.

For more information, go to www.tableau.com.

 


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