Whitepaper & e-book Putting the Ops in DataOps: Data Pipeline Orchestration at Scale

How to use DataOps to achieve enterprise-wide visibility, control, and scalability of your data pipelines, while delivering data to business consumers in real-time.

Data pipeline management is incredibly complex. It relies on manual processes, custom integrations, and in-built job schedulers, so data becomes more unwieldy as it grows in type and volume.

This white paper follows Jonathan, a data team lead, as he searches for a way to scale and operationalize various data pipelines at his company. Learn from his journey as he discovers how to deploy DataOps methodologies while orchestrating the automated processes across his entire data toolchain. 

Download this whitepaper to discover:

  • What data operations (DataOps) is... and isn't
  • How to effectively incorporate dev/test/prod promotion into DataOps lifecycle management
  • Why it's crucial to centrally control and orchestrate the tools and platforms throughout your data pipeline, including data sources, data integrators, data warehouses and lakes, data analytics, and data delivery
  • How automation enables data-as-a-service, which makes real-time data available on-demand to decision-makers throughout the enterprise
  • How a service orchestration and automation platform can help you centralize control of your data toolchain, encourage cross-functional collaboration, and manage the DataOps lifecycle

Further Reading

What is a data pipeline? Definitions you need to know

What is a Data Pipeline? Definitions You Need to Know

What is a data pipeline? Learn about the terminology used when discussing a data pipeline, including definitions related to DataOps.

What is a DataOps Orchestration Solution? header blog image

What is a DataOps Orchestration Solution?

Learn how DataOps orchestration empowers data teams to manage complex data pipelines.

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.

What is DataOps and How is it Different than DevOps?

What is DataOps and How is it Different than DevOps?

Now more than ever, data is crucial to businesses being able to make informed decisions and measure the impact of those decisions. DataOps treats data as a…