“The Unicorn Project” Review & DataOps Excerpt

by | Oct 30, 2019 | Blog, DataOps Principles

โ€œ[DataKitchen CEO] Chris [Bergh] had a huge impact on the development of “The Unicorn Project”, and helped me see the parallel universe of DataOps.โ€ -Gene Kim, Author of “The Unicorn Projectโ„ข”

Gene Kim DataOpsAlmost 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.

Please followย this link to enjoy reading a complimentary excerpt of Chapter 14 of “The Unicorn Project.”

Sign-Up for our Newsletter

Get the latest straight into your inbox

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]

DataOps Software

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

recipes for dataops success

DataKitchen Consulting Services


Assessments

Identify obstacles to remove and opportunities to grow

DataOps Consulting, Coaching, and Transformation

Deliver faster and eliminate errors

DataOps Training

Educate, align, and mobilize

Commercial Pharma Agile Data Warehouse

Get trusted data and fast changes from your warehouse

 

dataops-cookbook-download

DataOps Learning and Background Resources


DataOps Journey FAQ
DataOps Observability basics
Data Journey Manifesto
Why it matters!
DataOps FAQ
All the basics of DataOps
DataOps 101 Training
Get certified in DataOps
Maturity Model Assessment
Assess your DataOps Readiness
DataOps Manifesto
Thirty thousand signatures can't be wrong!

 

DataKitchen Basics


About DataKitchen

All the basics on DataKitchen

DataKitchen Team

Who we are; Why we are the DataOps experts

Careers

Come join us!

Contact

How to connect with DataKitchen

 

DataKitchen News


Newsroom

Hear the latest from DataKitchen

Events

See DataKitchen live!

Partners

See how partners are using our Products

 

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.