Product Training How to Orchestrate Data Pipelines

Learn how to centrally orchestrate each stage of a data pipeline, including data ingestion, data storage, and data delivery.

 

This detailed walkthrough illustrates how a DataOps team can use Universal Automation Center (UAC) to centrally access and automate the specialized data management tools they already use (including Informatica, Snowflake, Azure, Databricks, Tableau, and AWS).

During the demonstration, you'll see how to:

  • Build a data pipeline workflow using UAC's graphical workflow designer
  • Connect on-prem and cloud applications within a data pipeline
  • Leverage automated managed file transfer capabilities to move data in real-time
  • Eliminate the need for custom scripts and point integrations
  • Gain observability with detailed reports and logs

Further Reading

Modernize Mainframe Applications: 6 Strategies to Get it Done

Modernize Mainframe Applications: 6 Strategies to Get it Done

Take a look at the benefits of mainframe modernization and explore six strategies to consider when you modernize your existing legacy mainframe applications.

Automation for Mainframe Modernization Solution Data Sheet

Automation for Mainframe Modernization

Overcome the automation challenge: schedule mainframe, distributed, and emulated mainframe jobs from one platform — even within the same workflow.

Self Service Automation: Best Practices for Organizational Efficiency

Self Service Automation: Best Practices for Organizational Efficiency

Self service automation can help break down organizational silos to boost employee efficiency. Check out these best practices to help your help desk reduce the…

Runbook Automation vs Workload Automation: Best Practices Header Image

Workload Automation vs Runbook Automation: Best Practices

Explore the differences between workload automation and runbook automation to help you decide which approach best fits your needs.