“[DataKitchen CEO] Chris [Bergh] had a huge impact on the development of “The Unicorn Project”, and helped me see the parallel universe of DataOps.” - Gene Kim, Author of “The Unicorn Project™”
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 a half I spent working with data engineers, data scientists, data analytics that drove me to adopt DataOps principles.
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 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.
TIP
Buy “The Unicorn Project” from its publisher, IT Revolution, who also publish a free excerpt of chapters one to seven with no form in the way. Chapter 14, the one carrying the DataOps thread, is the excerpt we host — the form below.
Read Chapter 14
The chapter of The Unicorn Project that carries the DataOps thread. Gene Kim's book, published by IT Revolution.
