Azure Data Studio provides customers with an optimum experience, bringing SQL and Spark together, providing customers seamlessly experience. Customers can run Spark jobs in the integrated Notebook experience or run SQL Server queries, bridging the gap between big data and the relational world. SQL Server 2019 is deployed on Kubernetes providing the flexibility to run anywhere.
In this video, you will get to experience bringing SQL and Spark together as a unified data platform running on Kubernetes and learn how:
• Data virtualization integrates data from disparate sources, locations and formats, without replicating or moving the data, to create a single "virtual" data layer
• Data Lake - SQL 2019 provides SQL and Spark query capabilities over a scalable storage, across relational and big data
• Data Mart provides an ability to scale out storage for super-fast performance over big data or data from other external sources
For more tips like this, check out the working remotely playlist at www.youtube.com/FoetronAcademy . Also, if you need any further assistance then you can raise a support ticket and get it addressed.