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Tuesday, April 8 • 3:45pm - 4:35pm
Big Telco, Bigger DW Demands: Moving Towards SQL-on-Hadoop

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Data transfer is one of the most pressing problems facing companies in the telecoms industry today. As data requirements grow by the month, so too do the costs.

To a certain point, Hive-on-Hadoop has been sufficient for the company. But huge increases in requirements brought about by more sophisticated smartphones have started to create serious business bottlenecks, with the need for near real-time analytics reports on the massive warehouse load of petabytes of data and growing by the day. Clearly, a more fundamental shift was required.

In this presentation,  Keuntae Park will detail how this problem was dealt with; how support of SQLstandards was an essential part of the required solution; and how Tajo, an open-source low-latency query engine, might just point to the future of high-speed large enterprise data processing.


Keuntae Park

IT Manager, SK Telecom
Keuntae Park is an IT manager of SK Telecom(SKT), South Korea’s largest wireless communications provider. He is also an Apache committer of Tajo project and applying Tajo on the company's big data analytic cluster. Big data analysis of SKT mainly focuses on the customer retention... Read More →

Tuesday April 8, 2014 3:45pm - 4:35pm PDT
Confluence C

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