Also read: AI gets rigorous: Databricks announces MLflow 1.0 Also read: Databricks introduces MLflow Model Registry, brings Delta Lake to Linux Foundation Individual, indivisible. Data lakes and ...

A Deep Dive Into Data. Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon ...

The San Francisco-based startup has released a SQL-based, self-orchestrating data pipeline platform, claiming it will go to go toe-to-toe with Databricks’ Delta Live Tables.

Once in the data lake, users can then work with the compute engine of their choice (think Databricks, Snowflake, Starburst or Redshift) to operationalize that data — or bring it to a machine ...

Big data firm Databricks Inc. wants to clean up companies’ messy data lakes with a new open-source project.Delta Lake, as the project is called, acts similarly to a regular data lake but provide ...

Today, Databricks announced the release of Delta Lake 3.0 with a universal format allowing support for Apache Iceberg and Hudi. Skip to main content Events Video Special Issues Jobs ...

Delta Lake also uses the Spark engine to handle the metadata of the data lake (which by itself is often a big data problem). Over time, Databricks also plans to add an audit trail, among other things.

Databricks on Wednesday introduced a new version of its data lakehouse offering, dubbed Delta Lake 3.0, in order to take on the rising popularity of Apache Iceberg tables used by rival Snowflake.

Databricks, maker of the Apache Spark machine learning library, today announced the creation of Delta Lake, a tool for making more reliable data lakes.

SAN FRANCISCO, June 11, 2025 /CNW/ --Data + AI Summit — Databricks, the Data and AI company, today announced the upcoming Preview of Lakeflow Designer. This new no-code ETL capability lets non ...