Almost everyone in the software development world has read a Gene Kim book. His bestselling book, The Phoenix Project, focused on the challenges of software teams struggling to make an impact. Like many people in the software industry, I closely identified with the experiences the characters were having in the software development process.
I met Gene early in 2019 to ask his advice on how to turn DataOps into a standard practice in data analytics. I was hoping his experience as an early advocate for DevOps in software engineering could help my quest to advance the idea of DataOps as a necessary practice for teams analyzing data.
Over the next months, we had many conversations where I shared my experiences and challenges in the decade and half I spent working with data engineers, data scientists, data analytics that drove me to adopt DataOps principles.
Gene Kim said: “Chris (Bergh) had a huge impact on the development of The Unicorn Project, and helped me see the parallel universe of DataOps.”
Gene immediately saw the parallels to his work with DevOps. Then he synthesized those ideas into a great sub-plot in his latest book the ˜The Unicorn Project.™
Anyone working with data, analytics, reports, or predictive models will feel a kinship to the problems the teams encounter in the Unicorn Project and cheer them on as they apply DataOps best practices to succeed.
- Please Follow this link to an excerpt from Chapter 14 of The Phoenix Project. Enjoy!*
Christopher Bergh, CEO, and Head Chef DataKitchen