What is DataOps?

DataOps brings together the tools you love, the processes you need and your people, in a single place. Discover how Atlan—a human-first DataOps platform powering data teams in 50 countries around the world—can help you become a part of the DataOps revolution.

What is DataOps?

DataOps brings together the tools you love, the processes you need and your people, in a single place. Discover how Atlan—a human-first DataOps platform powering data teams in 50 countries around the world—can help you become a part of the DataOps revolution.

Catalog & Discovery

Governance & Access

Security & Privacy

Alerts & Monitoring

Workflow Automation

Continuous Integration

How does DataOps help you transform your data management practices?

But first things first... DataOps isn't just DevOps for data pipelines. Nor is it a tool that magically solves your data problems. And it definitely doesn't mean getting rid of your existing infrastructure and starting from zero.

So what purpose does DataOps serve? It applies the principles of Agile, DevOps and Lean Manufacturing for better data management. See how DataOps can help your organization win with data.

1. Agile and DataOps

Agile is an iterative project management principle for software projects. With Agile, IT teams can release new software within a few hours, not months, without compromising on quality.

Data teams can use the principles of Agile to work with big data and drive quick business decision-making.

2. DevOps and DataOps

DevOps breaks down the silos between development and operations teams within organizations. It makes software development and deployment faster, easier and more collaborative.

Data teams working in silos can use the principles of DevOps to collaborate better and deploy faster.

3. Lean Manufacturing and DataOps

Manufacturing happens in pipelines—raw materials flow through various manufacturing workstations to be transformed into finished goods. Minimal waste, greater efficiency without sacrificing product quality.

Data teams build pipelines to transform data into insightful reports or visualizations.

Would you like to know more about DataOps?

Still not convinced why you need DataOps?

Businesses today need data to be present everywhere it is required, for anyone who requires it, in whichever format as desired. However, data environments exploded in terms of scale and complexity with growing security concerns, leading to chaos.

01 Technology overload

From storage, data preparation and analysis tools to governance and data management products, there's an overload of tools and technologies.

02 Complex infrastructure

Only a small fraction of real-world ML systems is the ML code (the black box). The required surrounding infrastructure is vast, complex and costly.

03 Diverse roles and mandates

The humans of data are a diverse lot, each with their own skill sets, responsibilities, tool choices and preferences, leading to a collaboration overhead.

Ready to get started on your DataOps journey?

Ready to get started on your DataOps journey?

Atlan is a human-first DataOps platform that powers data teams in 50 countries around the world. Meet the collaboration and orchestration layer that your data team has been waiting for.

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