Databricks Lays Production Data Pipelines

Databricks Lays Production Data Pipelines

Aiming to provide data engineers with new and better tools for creating production data pipelines, Databricks yesterday released Databricks for Data Engineering, a new version of its Apache Spark-based cloud platform optimized specifically for data engineering workloads.

Databricks, founded by the creators of Apache Spark, already provides a version of the cloud platform geared toward supporting data science workloads. But Databricks CEO and Co-founder Ali Ghodsi says the overwhelming majority of the company’s nearly 500 enterprise customers and 50,000 community edition users are seeking to combine SQL, structured streaming, ETL and machine learning workloads running on Spark to deploy data pipelines into production.

To read this article in full or to leave a comment, please click here

CIO Cloud Computing