Hadoop in Action
Author: Chuck Lam
Publisher:Manning, 2010
Pages: 325
ISBN: 978-1935182191
Aimed at:
Rating: 5
Pros: Well paced and comprehensive coverage
Cons: No obvious ones
Reviewed by: Mike James

Hadoop can seem complicated because so many different things have to be mastered. Does this book succeed in simplifying things?

Author: Chuck Lam
Publisher:Manning, 2010
Pages: 325
ISBN: 978-1935182191
Aimed at:
Rating: 5
Pros: Well paced and comprehensive coverage
Cons: No obvious ones
Reviewed by: Mike James


Hadoop isn't a difficult beast to get to grips with but it can seem complicated because there are so many different things that have to be mastered to get it all up and running. This particular book does a good job of taking it slowly enough for you to see how it works and then enabling you to take it futher. 

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Chapter 1 is a nice and steady introduction to Hadoop and the whole MapReduce idea. It does this by working through a simple example of word counting and showing how you would split it up into tasks in such a way that MapReduce seems a natural approach. By the end of the chapter you have created and tried out your first Hadoop program. This leaves you wondering what the rest of the book could be about?

Chapter 2 is called Starting Hadoop and this tells you in more detail how to set up, configure and monitor Hadoop. Chapter 3 continues with a look at the components of Hadoop - the Hadoop filing system and  the MapReduce framework.

Part 2 of the book is about Hadoop in action and it goes into more detail and practical considerations of the basic ideas you learned about in the first part. Chapters 4 and 5 takes us deeper into the art of writing MapReduce programs. Chapter 6 looks at the problems and best practices of Hadoop programming - including debugging, logging and performance tuning. Chapter 7 takes the form of a small cookbook with five very common recipes described in some detail. 

Chapter 8 returns to the task of managing Hadoop, but this time considering how to run a production system i.e. what happens when you have lots of machines and a multiple jobs  to manage.  Chapter 9 looks at the alternative approach - the cloud. More sepcificlly it looks at how to use Amazon's AWS system to setup and run a Hadoop system that might cost you a lot of money if you actually bought the hardware.

The final chapters are a collection of untidy topics - programming with Pig as a way of going high level with Hadoop and using Hive for data management.  The book closes with some case studies.

A great book. If you want to get started and more with Hadoop buy, a copy.


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Supercharged Python

Author: Brian Overland and John Bennett
Publisher: Addison-Wesley
Date: July 2019
Pages: 672
ISBN: 978-0135159941
Print: 0135159946
Kindle: B07T93J28B
Audience: Python developers
Rating: 3
Reviewer: Mike James
This book's challenge on its front cover is "Take Your Code to the Next Level". Is this the boo [ ... ]



Query Store For SQL Server 2019

Author: Tracy Boggiano and Grant Fritchey
Publisher: Apress
Pages:219
ISBN: 978-1484250037
Print: 1484250036
Kindle: B07YNL3X4X
Audience: Users and developers of SQL Server queries
Rating: 5
Reviewer: Kay Ewbank

This book looks at the new Query Store feature in SQL Server and how you can use it to iden [ ... ]


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Last Updated ( Tuesday, 15 February 2011 )