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With new in-memory analytics engine, Tableau looks to supercharge data visualization
January 12, 2018 News analytics big data

 

Tableau Software Inc. said today it has managed to jack up the speed at which enterprises can visualize important data for decision-makers.

This morning the company launched a new release of its namesake business intelligence platform that processes information as much as five times faster than the previous release. The performance gains can potentially be even bigger for some specific operations. Speaking to ZDNet, Tableau Chief Executive Adam Selipsky said that extracting a million rows of data from an external source now takes 10 seconds compared with five minutes before.

The credit for the speed boost goes to the new analytics engine that can be found in Tableau 10.5. Dubbed Hyper, the database was originally developed by a German startup of the same name that the data visualization giant acquired in 2016. The system keeps records in memory during analysis to avoid the delay of fetching them from storage and can ingest new information at the same time.

In practice, this means that users will have to spend much less time waiting for their queries to be executed. Tableau said Hyper also makes it easier to work with big data sets that until now had to be split up because of processing time constraints.

The engine is rolling out alongside Viz in Toolkit, a new front-end feature likewise intended to make large volumes of information more digestible. The capability enables analysts to place data that otherwise might not fit into dashboard in pop-ups that appear when a user hovers the mouse over certain sections of a visualization.

One area where Viz in Tooltips might come handy is geospatial analysis. A graph visualizing a company’s domestic sales, for example, could be augmented to show a month-by-month revenue breakdown for the state on which the viewer places their cursor. The feature can thus remove the need for users to open a separate chart in a new tab while not overcrowding the original dashboard.

Rounding out the update is the addition of Linux support to Tableau Service. The product, which is offered separately from Tableau’s data visualization tool, provides a portal where an analyst can publish graphs and data sources for colleagues to access.

This article was originally published on siliconangle.com and can be viewed in full

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