Visualizing data using BI reporting

One of the main use cases served by warehouses is around SQL queries and visualization in various reports and dashboards. Visualizing data involves converting it into graphical representations that make it easy to comprehend and detect outliers. It is especially useful to correlate data and make a statement about it that can be remembered for a long time. As noted earlier, the queries themselves fall into the two categories of ad hoc data exploration and known queries. There are a lot of tools on the market for visualizations, including Tableau, Power BI, Looker, Spotfire, and Qlik. They allow non-technical users to easily build personalized reports and dashboards, provided that there is access to the right datasets.

Spark supports a distributed SQL engine using its Thrift-based JDBC/ODBC or command-line interface (https://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-thrift-jdbcodbc-server).

Managed platforms such...