Let data scientists focus on development—not pipeline management “How to Orchestrate Data Workflows with the Control-M Python Client.”

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Get data workflows into production faster at scale

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

Let data scientists focus on development—not pipeline management “How to Orchestrate Data Workflows with the Control-M Python Client.”

All fields are required except where noted.

Get data workflows into production faster at scale

BMC helps customers run and reinvent their businesses to succeed in new and better ways.