The Scrumban (R)Evolution
The Scrumban (R)Evolution

Author: Ajay Reddy
Publisher: Pearson
Pages:384
ISBN: 978-0134086217
Print: 013408621X
Kindle:B010TQKZ5E
Audience: developers wanting to learn scrumban
Rating: 4.5
Reviewer: Alex Denham

This book sets out to show how Lean and Agile principles can be mixed and managed within the Scrumban framework.

Scrumban is a mixture of two popular frameworks - Scrum and Kanban. Scrum is perhaps the better known of the two, and is popular as a project management framework. It is based on formalized processes such as spring planning, and has set roles such as the Scrum master. The Kanban method is mainly a framework based on the ideas of 'evolutionary change' and continous improvement. Putting the two together, Scrumban is described as applying Kanban systems within a Scrum context.

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The book opens with a chapter demystifying Scrumban, starting with an acknowledgement that while Scrum is simple and effective, it can be difficult to master.

The next three chapters look at the foundations on Scrumban. There's a chapter describing Scrumban's origins and how it fits into 'systems thinking'. The interesting idea here is that most developers thnk analytically, which means we break systems down into collections of independent things. This works well on one scale, but can mean we miss interactoins and dependencies across the larger system. To see such things means deliberately thinking about the big picture rather than the immediate problem.

Next is a chapter that sets out to clarify the relationship between purpose, values and performance. It starts with a section titled 'why we're paid to work' (because we produce something of value), and goes on to look at how a team performs differently from a collection of individuals. The following chapter builds on this to look at why Scrumban works, focusing heavily the Kanban element of Scrumban.

 

 

Now we come to three chapters that look at putting Scrumban into practice, starting with how to roll out Scrumban in an organization. There's an extensive description of the kickstart process and event from different viewpoints.

A chapter on 'working under the hood' concentrates on how Scrumban is used to manage uncertainty and risk, and this part of the book closes with a look at how to measure the success of projects managed using Scrumban.

The final part of the book covers more advanced topics such as convictional leadership and evolving roles. There's a chapter on how you can keep improving once you've mastered Scrumban, and a final chapter on modeling. The book ends with an extensive appendix that gives high level summaries of the fundamentals of Scrumban; additional background on the models and frameworks; more complete case studies of the examples used earlier in the book; and discussions of other resources.

 

While the upbeat tone of the book, especially in the coaching tips, was at times a bit overwhelming, the book explains Scrumban and how to use it well. This would make a good book for anyone using Scrum and wanting to add Kanban into it, or if you're thinking of moving to an agile programming model.
 

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Introduction to Machine Learning with Python

Author: Andreas C. Müller and Sarah Guido
Publisher: O'Reilly
Pages: 394
ISBN: 978-1449369415
Print:1449369413
Kindle: B01M0LNE8C
Audience: Python programmers
Rating: 4
Reviewer: Mike James

What exactly is machine learning? 



Expert Performance Indexing for SQL Server 2nd Ed

Author: Jason Strate and Grant Fritchey
Publisher: Apress
Pages: 403
ISBN: 978-1484211199
Print: 1484211197
Audience: Performance DBAs/Developers
Rating: 4.5
Reviewer: Ian Stirk 

This book discusses indexes, a primary means of improving performance in SQL Server, how does it fare?


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Last Updated ( Tuesday, 23 August 2016 )
 
 

   
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