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Open Source 'Lingual' helps SQL devs unlock Hadoop

Thor Olavsrud | Feb. 25, 2013
One commonly cited stumbling block to the broader adoption of Apache Hadoop in the enterprise is the difficulty and expense of finding and hiring developers who understand and can think in Hadoop MapReduce. But Big Data application framework specialist Concurrent wants to change that.

"Rather than filtering through events and exporting them to MySQL, our customer support staff and data scientists will finally be able to work with tools they already know to query the raw data directly within our Hadoop cluster through the use of Lingual and Cascading," Shapiro says.

Cascading has already been adopted in some of the biggest and most well-known Big Data companies, like eBay, Etsy and Twitter. Twitter uses Cascading to streamline its data processing, data filtering and workflow optimization for large volumes of unstructured and semi-structured data. It is also the driving force behind three popular open source language extensions: PyCascading (Python + Cascading), Scalding (Scala + Cascading) and Cascalog (Clojure + Cascading).

"eBay has picked that up and is running it as well," Wensel notes. "All of eBay's search is now running on Scalding."

 

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