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SQL is one of the most widely used languages to access, analyze, and manipulate structured data. As Hadoop gains traction within enterprise data architectures across industries, the need for SQL for both structured and loosely-structured data on Hadoop is growing rapidly. Key organizational drivers include the ability to: 
- Leverage existing SQL skills in the organization 
- Reuse BI, ETL, and analytics infrastructure investments with Hadoop