With SQL Server 2016, it now makes sense to store JSON objects in your database (even though there’s no JSON datatype). Here’s how to query JSON properties to find the rows you want.

SQL queries on Databricks Lakehouse One of the features that makes Databricks Lakehouse Platform viable as a substitute for a standard data warehouse is its much improved SQL engine, called Photon.

With SQL Server 2016, you can store JSON objects in your rows. Here’s how to work with JSON objects, including how to update them once you’ve found them. In a previous Practical .NET column I showed ...

Companies that want to run traditional enterprise BI workloads but don’t want to involve a traditional data warehouse may be interested in the new Databricks SQL service that became generally ...

Leveraging Databricks SQL, Qlik’s Databricks (Delta) Endpoint optimizes the continuous and real-time data ingestion through Qlik Data Integration into Delta Lake on Databricks.