Blog Post Data Pipeline Orchestration for DataOps – Explainer Video

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

Data Pipeline Orchestration for DataOps

Today’s data engineer and architect teams are stretched thin against an ever-growing list of data sources and data management tools. These teams need to keep vital information flowing to business end-users. However, most data teams are stuck paying the technical debt left behind from a mix of legacy on-prem and newer cloud data management tools. Most data pipelines are stitched together by a chaotic mess of point-to-point integrations and custom scripts, or glue code, that connect their data sources, ingestion tools, storage tools, and analytics solutions.

The more complex your data pipeline, the more risk is involved in managing it. Not only does this stitched-together approach create a lack of security and visibility, but it also becomes difficult to root-cause issues when something inevitably breaks down.

But don’t worry, there's a better way to manage your data pipeline. Watch the 2.5-minute video below to see just how easy it can be to orchestrate your data pipeline with a solution that enables DataOps methodologies. 

 

The Stonebranch Big Data Pipeline Orchestration solution, within the Universal Automation Center (UAC) platform, allows you to centrally manage secure integrations, orchestrate the flow of data, and automate the tools used along your entire data pipeline.

As a DataOps Orchestration platform, UAC empowers data teams to manage the DataOps lifecycle with dev-test-prod capabilities. The best part is that you don’t have to replace your existing data management tools. Stonebranch taps right into your on-prem and cloud-based data stack via APIs or agents, which gives data teams centralized visibility and control with dashboards, pro-active alerts, and the ability to keep things running the way they should — all the time.

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