Integration and orchestration challenges can slow the delivery of new data innovations for your business. Now data scientists and developers can use the Python language they love to achieve faster workflow promotion, smoother execution in production, and better development scalability with Control-M. Read this white paper to learn how you can:

• Keep data teams focused on data-driven innovation
• Simplify and scale data pipelines across platforms and sources
• Automate workflow movement across development, test, and production environments