DataKitchen announced the release of the DataOps Cookbook Second Edition, the definitive guide to understanding and implementing DataOps. With over 5,000 copies already in circulation, the DataOps Cookbook is the industry’s leading book on DataOps, written by DataKitchen, creators of the industry’s first end-to-end DataOps software platform.
DataOps is a combination of tools and methods that applies Agile development, DevOps and lean manufacturing practices to data science. DataOps enables data organizations to accelerate the development of new analytics, deploy confidently with the push of a button, and reduce data errors to virtually zero.
“The DataOps Cookbook is a must-read for any data practitioner looking to foster collaboration, increase capacity and output, reduce errors, and accelerate time to market,” commented Wayne Eckerson, President of the Eckerson Group. “The Cookbook provides practical suggestions that you can implement immediately to evolve your data operations from an artisanal craft to an industrial process that delights your internal customers.”
As Chris Bergh, CEO and Head Chef at DataKitchen, stated: “Managers have asked us for boxes of books to distribute to their entire organization. Data professionals are forming study groups around the ‘DataOps Cookbook.’ DataOps is a methodology truly coming of age.”
Interest and buzz around DataOps continued its meteoric rise in 2019. Recent milestones include:
- Over 7,000 signatures to the DataOps Manifesto.
- Gartner naming DataKitchen a “Cool Vendor” in Data Management, putting it on the elite list of the hottest new vendors.
- DataOps ecosystem expanding to 70+ vendors and OSS projects.
- Media consumption of DataOps up sharply. For example, the DataOps Cookbook chapter titled “DataOps is Not Just DevOps for Data” has over 37K views as a stand-alone post.
- Noted DevOps author Gene Kim including a chapter on DataOps in his latest book “The Unicorn Project.”
DataKitchen, Inc. helps organizations turn data into value by offering the world’s first DataOps platform: datakitchen.io.