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Microsoft SQL Server Big Data Clusters allow the deployment of scalable cluster containers that enable users to read, write, and process big data from Transact-SQL. In this way, users can easily combine and analyze high-value relational data with high-volume big data in a managed cluster environment.
The Control Plane REST API [MS-CPREST] provides methods to create a big data cluster in which the user manages the lifecycles of resources deployed in a cluster. The Hive Metastore HTTP protocol [MS-HMSHTTP] uses a light-weight interface that defines data services to store and read metadata from Hive Metastore databases that are inside a big data cluster and are exposed out of the big data cluster through the Apache Knox [ApacheKnox] access point.
The communication between these client applications and SQL Server Big Data Clusters is shown in the following figure.
Figure 10: SQL Server Big Data Cluster architecture