Using SQL as your approach to interrogating data in one data component makes it easier to transfer over to using another option if your needs change.

For the past fifty years, SQL has helped us understand, manipulate and use our data to our advantage.

Spark SQL: Apache’s Spark project is for real-time, in-memory, parallelized processing of Hadoop data. Spark SQL builds on top of it to allow SQL queries to be written against data.