Infographic – 7 Steps to Implement DataOps

So you’ve learned about DataOps and want to get begin implementing it? Look no further than DataKitchen’s white paper The Seven Steps to Implement DataOps (which you can download here)! We’ve taken the seven steps to implement DataOps and included them in the infographic below so you can easily share this blog post with your […]

So you’ve learned about DataOps and want to get begin implementing it?

Look no further than DataKitchen’s white paper The Seven Steps to Implement DataOps (which you can download here)!

We’ve taken the seven steps to implement DataOps and included them in the infographic below so you can easily share this blog post with your colleagues.

We hope you find this infographic helpful. Please let us know if you have any comments or feedback about how the infographic is received by your colleagues at marketing@www.datakitchen.io.

 

DataKitchen Infographic 7 Steps to Implement DataOps

DataKitchen Infographic 7 Steps to Implement DataOps

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Open Source Data Observability Software

DataOps Observability: Monitor every Data Journey in an enterprise, from source to customer value, and find errors fast! [Open Source, Enterprise]

DataOps Data Quality TestGen: Simple, Fast Data Quality Test Generation and Execution. Trust, but verify your data! [Open Source, Enterprise]

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DataOps Automation: Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change. [Enterprise]

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Monitor every Data Journey in an enterprise, from source to customer value, in development and production.

Simple, Fast Data Quality Test Generation and Execution. Your Data Journey starts with verifying that you can trust your data.

Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change.