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. Databricks argues that as more ...

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, ...

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 ...

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 ...