Control-M Virtual Seminar: Powering Cloud Services with Control-M

Organizations are under pressure to move core and data-intensive applications to the cloud while continuing to operate the current technology stacks that run the business. The result:

• Developers, and engineers are under pressure to deliver so they choose tools they know and can apply quickly
• A broad collection of cloud services is used; each with its own tooling
• IT Ops must learn, develop standards for, and find a way to manage dependencies and service levels across tools that may not integrate

Join this session to learn about and see exciting new capabilities that:

• Make it attractive for developers and engineers to consume Control-M from Python; the de facto standard for data science and new application development
• Support cloud services like Azure Data Factory, AWS Glue, Databricks, Google Cloud Functions and Dataflow
• Provide an accelerated process for delivering new integrations