Building a data pipeline is essentially preparing the data for analytics. This means writing SQL code for tasks like extracting ... Prophecy 3.0 is now live and available on the Databricks ...

Databricks said the free offering automates up to 80% of the migration lifecycle and can be used as part of a strategy to ...

If the source data lake is also storing data in Parquet, Databricks customers can save a lot of time and hassle in loading that data into Delta, because all that has to be written is the metadata, ...

Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and ...

Load the data: Once connected, users can use SQL commands or Spark DataFrame APIs to load the data into Databricks and begin analysis. This process involves writing SQL queries or leveraging the ...

Databricks debuted its Lakebase fully managed database and Agent Bricks agent development workspace at the Data + AI Summit.

The Databricks SQL data explorer allows you to view your databases and tables, including the schema data shown here. IDG Viewing databases and tables with the Databricks SQL data explorer.

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.

“So, a product like Databricks, if it’s not natively really, really integrated with something like Stream Analytics, or something like Azure SQL Data Warehouse, or something like Azure Cosmos ...