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

Using Databricks Photon SQL engine with spot instances brought the Price/Performance metric for a 100TB TPC-DS decision support benchmark down to $146, which is roughly 12 times better than the ...

(Note that "dev" is the default target, so the --target parameter is optional here.). This deploys everything that's defined for this project. For example, the default template would deploy a job ...

Azure Databricks and Azure SQL database can be used amazingly well together. This repo will help you to use the latest connector to load data into Azure SQL as fast as possible, using table partitions ...

After conducting an analysis, the Converter starts converting the rival data warehouse into Databricks SQL by using a configuration-driven approach that is expected to account for differences ...

See whether Databricks or Snowflake is the better ETL tool for you using our comprehensive guide to compare their features, pricing and more. Skip to content TechRepublic ...

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.