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Using SQL for Deep Analytics

Historically, SQL has not been a viable option for large data analytics because databases have not been able to deliver required performance and scalability for ad hoc queries. Databases are designed for transaction-like business intelligence queries – relatively simple, short running queries. Implemented for pre-defined data access paths, databases are unable to support ad hoc, unconstrained data access.

 

To do SQL based deep analytics and data exploration, a database system must support:

  • Ad hoc queries of any complexity
  • Fast query performance
  • Model agnostic
  • Support terabyte-petabytes of data
  • Cost effective
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