“When different data teams use different tools to build pipelines, it adds to costs, timelines and risks …[the] Prophecy 3.0 release helps data analysts using SQL, data engineers using Spark ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

The new Databricks for Data Engineering edition of the Apache Spark-based cloud platform is optimized for combining SQL, structured streaming, ETL and machine learning workloads running on Spark.

This technical brief is essential for database developers and DBAs who are responsible for SQL Server DevOps CI/CD pipelines. By reading this asset, viewers will learn how to optimize their pipelines ...