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Spark SQL - The Spark SQL is used for real-time, in-memory and parallelized SQL-on-Hadoop engine. The Spark SQL is not a general purpose SQL layer and it’s used to allow us to do several advanced analytics with data. The Spark SQL supports only a subset of SQL functionality and users have to write code in Java , Python and so on to execute a query. Great Features of Spark SQL - ü   Spark SQL provides security through encryption using SSL for HTTP protocols. ü   The Spark SQL supports lots of features to analysis the large scale of data. ü   The Spark SQL supports lots of data types for machine learning . ü   In the Spark SQL, you can easily to write data pipelines. ü   In the Spark SQL, easy to add optimization rules, data types and data source by using the Scala programming language When To Use Spark SQL? Spark SQL is the best SQL-on-Hadoop tool and best used of Spark SQL is fetch data for diverse machine learning tasks. ...

What Is Spark SQL ? The Spark SQL is used for real-time, in-memory and parallelized SQL-on-Hadoop engine. The Spark SQL is not a general purpose SQL layer and it’s used to allow us to do several advanced analytics with data. The Spark SQL supports only a subset of SQL functionality and users have to write code in Java , Python and so on to execute a query. Great Features of Spark SQL - ü   Spark SQL provides security through encryption using SSL for HTTP protocols. ü   The Spark SQL supports lots of features to analysis the large scale of data. ü   The Spark SQL supports lots of data types for machine learning . ü   In the Spark SQL, you can easily to write data pipelines. ü   In the Spark SQL, easy to add optimization rules, data types and data source by using the Scala programming language When To Use Spark SQL? Spark SQL is the best SQL-on-Hadoop tool and best used of Spark SQL is fetch data for diverse machine learning...