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Data Orchestration

Data Orchestration

Orchestrating Multi-Cloud Data Workflows with Control-M

As organizations try to manage data pipelines across multi-cloud environments that include services like AWS Glue, Azure Data Factory, and Google Cloud Dataflow without an application and data workflow orchestration platform, they often run into serious challenges. Watch this demo to learn how Control-M can help you build, run, manage, and operate complex cloud-based services and applications at scale.

Powering DataOps with Control-M Workflow Orchestration

Considering that almost 85 percent of big data projects fail, it’s no surprise organizations are adopting DataOps to derive value from data-driven applications and analytics. A successful DataOps program relies on solving the production challenges of operationalizing complex workflows.