The Apache Spark community has improved support for Python to such a great degree over the past few years that Python is now a “first-class” language, and no longer a “clunky” add-on as it once was, ...

What's maybe more exciting, though, is something Databricks calls Project Lightspeed, which the company describes as the next generation of the Spark streaming engine. Databricks argues that as more ...

What's maybe more exciting, though, is something Databricks calls Project Lightspeed, which the company describes as the next generation of the Spark streaming engine.

What’s maybe more exciting, though, is something Databricks calls Project Lightspeed, which the company describes as the next generation of the Spark streaming engine.

Spark Declarative Pipelines is based on Databricks' core declarative ETL framework, which is used by thousands of customers. With the proven ability to handle complex data engineering workloads and ...

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 ...

Taking on Google, Databricks plans to offer its own cloud service for analyzing live data streams, one based on the Apache Spark software.

By integrating Redpanda Iceberg Topics and Databricks Unity Catalog, streaming data becomes immediately queryable in Databricks using Spark or DB SQL as Managed Iceberg tables.