If you’re constructing a data lakehouse today, you’ll need a table format to build on. But which open table format should you choose: Apache Iceberg, Databricks Delta Table, or Apache Hudi? A good ...

Databricks has unveiled a new extract, transform, load (ETL) framework, dubbed Delta Live Tables, which is now generally available across the Microsoft Azure, AWS and Google Cloud platforms.

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

The updates in Delta Lake 3.0 include a new universal table format, dubbed UniForm, a Delta Kernel, and liquid clustering to improve data read and write performance.

The new offering is available now on AWS and Microsoft Azure. Companies can access the ML model managed by Databricks by invoking a REST API. The ML serving component runs in a serverless manner, the ...

Microsoft and Databricks have actually worked on this integration since 2016, and this is making Databricks a first-party service on Azure.

Databricks has launched Delta Live Tables (DLT), its ETL framework to automate data pipelines, in general availability for enterprises.