Databricks Inc. today introduced two new products, LakeFlow and AI/BI, that promise to ease several of the tasks involved in analyzing business information for useful patterns. LakeFlow is ...

Built on Databricks’ Delta Live Tables technology, the LakeFlow Pipelines enable users to implement data transformation and ETL in either Python or SQL. This feature also offers a low latency mode for ...

Today, Databricks is announcing MLflow 2.0, which will add a major new feature, called Pipelines. Pipelines are templates for setting up ML applications, so everything’s ready for ...

The two companies’ data science platforms have become core components for many CIOs who are focused on leveraging organizational data to drive AI deployments, as the market for similar tools rapidly ...

Prophecy has launched an integration for Databricks, one that will allow users of the lakehouse to build data pipelines more easily.

Mei Long, product manager at Prophecy, and Nathan Tong, sales engineer at Prophecy, joined DBTA's webinar, Build Data Pipelines on Databricks in 5 Easy Steps, to discuss various practical strategies ...

Databricks today announced the general availability (GA) of Delta Live Tables (DLT), a new offering designed to simplify the building and maintenance of data pipelines for extract, transform, and load ...

As Snowflake chases Databricks for dominance in machine learning, both are investing in a technology to support it called streaming data pipelines.

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.