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 designed to ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...

Databricks announced on the 13th that it plans to unveil a demonstration version of its new no-code ETL (Extract, Transform, Load) feature, "Lakeflow Designer," which allows non-technical users to ...

Building robust, reliable, and highly performant data pipelines is critical for ensuring downstream analytics and AI success. Despite this need, many organizations struggle on the pipeline front, ...

BOSTON--(BUSINESS WIRE)--Snowplow, the leader in customer data collection, today announced its listing on Databricks Partner Connect, making it easy for Databricks customers to quickly set up a ...

In a world where every industry stresses “doing more with less,” particular technologies and strategies that conserve resources while maximizing business value are crucial, yet often elusive. DBTA’s ...

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. According ...

Apache Spark was the pinnacle of advanced analytics just a few years ago. As the primary developer of this technology, Databricks Inc. has played a key role both in its commercial adoption, in the ...