Data scientists and developers are already familiar and comfortable programming with Python—so why not let them use it to solve data pipeline orchestration challenges too? In this white paper, you’ll learn how to use the BMC Helix Control-M Python client to build, test, and promote data workflows for faster delivery and smoother execution at scale. Topics include:

• Finding and fixing defects and bugs earlier in the development lifecycle
• Automating workflow movement across development, test, and production environments
• Gaining a 360-degree view of data pipelines from ingestion, to processing, to analytics