Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
DevOps Adoption Strategies: Principles, Processes, Tools, and Trends

You're reading from   DevOps Adoption Strategies: Principles, Processes, Tools, and Trends Embracing DevOps through effective culture, people, and processes

Arrow left icon
Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801076326
Length 264 pages
Edition 1st Edition
Concepts
Arrow right icon
Author (1):
Arrow left icon
Martyn Coupland Martyn Coupland
Author Profile Icon Martyn Coupland
Martyn Coupland
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Principles of DevOps and Agile
2. Chapter 1: Introducing DevOps and Agile FREE CHAPTER 3. Chapter 2: Business Benefits, Team Topologies, and Pitfalls of DevOps 4. Chapter 3: Measuring the Success of DevOps 5. Section 2: Developing and Building a Successful DevOps Culture
6. Chapter 4: Building a DevOps Culture and Breaking Down Silos 7. Chapter 5: Avoiding Cultural Anti-Patterns in DevOps 8. Section 3: Driving Change and Maturing Your Processes
9. Chapter 6: Driving Process Change with Value Stream Maps 10. Chapter 7: Delivering Process Change in Your Organization 11. Chapter 8: Continuous Improvement of Processes 12. Section 4: Implementing and Deploying DevOps Tools
13. Chapter 9: Understanding the Technical Stack for DevOps 14. Chapter 10: Developing a Strategy for Implementing Tooling 15. Chapter 11: Keeping Up with Key DevOps Trends 16. Chapter 12: Implementing DevOps in a Real-World Organization 17. Other Books You May Enjoy

Understanding the DataOps ecosystem

One of the most common misconceptions around DataOps is that under the covers, it is just DevOps applied to data analytics. While the name shares similarities with both DevOps and DataOps, they're not the same.

Look at the following diagram, which depicts the DevOps loop:

Figure 11.1 – Graphic showing the phases of DevOps in an infinite loop

DevOps is often depicted as an infinite loop. As you can see in the previous diagram, DataOps is different. When illustrating DataOps, it is shown as an intersection of value and innovation pipelines, as you can see in the following diagram:

Figure 11.2 – DataOps depiction showing a value pipeline along the top and innovation from bottom to top

DataOps communicates that data analytics can achieve what DevOps accomplished for software development. That is, when data teams use new tools and methodologies, DataOps can result in an order of magnitude...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime