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Managing Big Data With Tableau Hadoop

June 16, 2016

In the age of big data, the dynamic duo of Tableau Hadoop harnesses the power of real-time data visualization, analyzing and sharing, without any delays or latency issues.

Everyone wants to be able to connect to their data source, wherever it may be housed, with the ability to analyze and share it on the fly. Business users expect millions, or sometimes billions, of data rows to respond to their interaction with it instantaneous. In fact, if a query takes longer than a few seconds, the user’s perception of the data flow becomes disrupted, and the overall experience falters. For your company to get the most out of your Big Data, especially a Tableau Hadoop investment, you must speed up response times in order to keep users fully engaged. That’s where our heroes—Tableau Hadoop and Trifacta—swoop in and save the day.

Tableau Hadoop: The Perfect Union of Data Visualization and Efficiency

Tableau software has always provided optimized integration with multiple data sources while providing drag-and-drop capabilities designed to make people of all skill levels comfortable with visualizing, analyzing and sharing data. With Tableau’s in-memory Data Engine, queries can be delivered quickly. And, of course, Tableau has always made sharing data on blogs and websites easy through Tableau Public.

The Hadoop platform is now a standard analyzing, storing, and processing petabytes of information. It removes any restrictions you may have had regarding housing and processing voluminous numbers of files, and larger files than what can normally be accommodated by your data storage. Also, Hadoop’s MapReduce makes moving data to a network for software processing obsolete. For large data sets, this is a much more appropriate and efficient solution.

Tableau Hadoop innovation and its native connectors have facilitated a way for users to connect with Hadoop clusters easily – just as any other data source – with no clumsy configuration or extra steps, making it a seamless and streamlined process. What’s more, Tableau manages Hadoop where it lives, so you have no additional data storage worries, and it’s a direct connection from Tableau to Hadoop. XML files are an easy fit with Tableau Hadoop as well, allowing for fast and flexible processing.

Tableau Hadoop Plus Trifacta: Your Data League of Heroes

Trifacta’s partnership with Tableau Hadoop expands these capabilities into previously unavailable areas at enterprise scale and security.  Using Trifacta, Tableau Hadoop users can now “wrangle” an entirely new set of raw data sources previously not fit for analysis in Tableau.  Native integration with Tableau’s Hadoop HCatalog allows Tableau users to point those implementations into Trifacta where data can be explored visually by users of all skill levels, without additional code.

Get the most out of your data environment. The powerful combination of Tableau Hadoop plus Tableau helps business reap the benefits of Big Data insights, without compromising on speed, flexibility, or visualization.

To learn more about how Tableau Hadoop and Trifacta partner together for big data success, visit our partner page!

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