“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 ...

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.

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

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 ...