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SQL has become a staple in any enterprise, opening up data to users across many different departments and use cases. It’s no surprise that SQL access was quick to emerge within Hadoop technologies to make it easier to process and analyze the volumes of data being stored in Hadoop. Today, the Hadoop ecosystem is full of SQL-on-Hadoop technologies. However, while they may all have SQL in common, many of these tools are designed to address very different needs and use cases. In this webinar, we look at three SQL-on-Hadoop leaders available with the recent release of Cloudera 5.5 - Hive, Impala, and Spark - and how they are designed to complement each other to address use cases across the business.

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