Video & Webcast VIP Success Story Video: Vermont Information Processing Goes Beyond WLA into Data Pipeline Orchestration

Learn how the Universal Automation Center helps VIP scale beyond traditional workload automation — into data pipeline orchestration, self-service automation, and more.

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A leading software provider for the beverage industry, Vermont Information Processing (VIP) initially sought an enterprise scheduler to automate their IBM iSeries... they ended up with that and so much more.

After reviewing a number of automation tools, they chose the Stonebranch Universal Automation Center (UAC) because it allows them to create their own custom integrations throughout their hybrid IT environment. The ability to easily integrate with IBM, AWS, Data Stage, and Snowflake means unlimited scalability beyond their initial requirements — they can centrally orchestrate their data pipelines, DevOps processes, and cloud service providers.

Watch this interview with Helen Pampinella, Chief Data Architect and Integrations Architect/Database Engineer for VIP, to learn more about VIP's automation-to-orchestration journey.

Further Reading

Workload Automation and Big Data Header

Automate Big Data Pipelines: End-to-End Orchestration

How to automate a big data pipeline to orchestrate, manage, and maintain the movement of data between solutions.

Blog Data Pipeline Orchestration for DataOps Watch video

Data Pipeline Orchestration for DataOps - Explainer Video

Keep the flow of data secure, centrally governed, and fully automated with end-to-end orchestration.

Big Data Pipeline Orchestration Introducing UAC

Big Data Pipeline Orchestration with DataOps Enablement

Today's businesses are generating more data than ever, in more places than ever. This video shows how easy it can be to modernize your data management approach…

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Expert Session: How to Use UAC to Orchestrate Your Big Data Pipelines [Stonebranch Online 2021]

Learn how to Orchestrate the flow of data across your big data pipeline utilizing Universal Automation Center.