I went through a tutorial introduction to SQL on Databricks Lakehouse. This tutorial concentrated on building and running SQL queries, as opposed to the Python notebooks used in the first two ...

The Databricks SQL UI lets you: Use SQL commands to perform ad-hoc and exploratory data analysis on your data lake; ... A Databricks SQL Endpoint is the computational resource that powers your queries ...

Finally, you’ll get hands-on with advanced SQL commands for ingesting data and maintaining the lakehouse. By the end of this book, you’ll have mastered Databricks SQL and be able to deploy and deliver ...

Databricks adds new SQL Analytics Workspace and Endpoint features, consolidating its acquisition of Redash and bolstering its "data lakehouse" marketing push.

Data and AI company Databricks has launched SQL Analytics, which allows workloads that would normally need a data warehouse to run on a data lake. SQL Analytics thus implements Databricks' vision ...

Thursday Databricks launched SQL Analytics, the company’s new software for running SQL analytic workloads directly on huge stores of unorganized, often unstructured data known as data lakes.

In a demo, Ghodsi showed me what the new SQL Analytics workspace looks like. It’s essentially a stripped-down version of the standard code-heavy experience with which Databricks users are familiar.