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Cassandra High Performance Cookbook (Quick Answers to Common Problems) Paperback – July 15, 2011
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About the Author
Edward Capriolo is currently System Administrator at Media6degrees where he helps design and maintain distributed data storage systems for the internet advertising industry. Edward is a member of the Apache Software Foundation and a committer for the Hadoop-Hive project. He has experience as a developer as well Linux and network administrator and enjoys the rich world of open source software.
Top Customer Reviews
And then it's a typical Packt book - i.e. no proofreading whatsoever, not even with a MS Word spell-checker. Some people don't mind typos, they drive me nuts.
One thing I particularly liked about the book is that the author does not only provide recipes or code but he also explains what is going on, frequently with pointers to papers for a more in-depth treatment of what is happening under the hood. Therefore, by reading through the book you not only learn how to solve many of the problems that arise when designing a Cassandra schema or trying to troubleshoot performance but you also get to understand the design of and technology behind Cassandra better.
Another helpful aspect of the book is that it mentions a number of third-party tools (e.g. cacti) that can be useful in troubleshooting performance. Overall, a great and highly recommended book!
One suggestion to the author: adding case studies of performance improvements of real Cassandra clusters would make the book even more useful, particularly for those readers who are running larger and more complex deployments.
Do you remember how the GoF published real software patterns and soon folks started calling any language best practice a "pattern"? They filled books with these common sense "patterns" (reference an ArrayList using the interface Array or Collection, etc). That is the impression that I have of this book. Once I've used Cassandra heavily, I may return to this book to read the little ADD snippets of code and improve my mastery of best practices...a literal cookbook. However, there are few places where more than five sentences are strung together. This book has no exposition, so do not buy it if you are interested in casually reading about or understanding Cassandra.
Like most `cookbook' style books this book is good for those who are just getting started with Cassandra as well as those with experience with it. Like a real cookbook this book gives you over 150 `receipies' that range from beginner tasks such as how to install to advanced topics such as performance tuning. So along with more common tasks, it also discusses more advanced topics like multi Datacenter deployments and working with Hadoop. The range of tasks makes it very useful once you are progressing from Cassandra novice to move serious Cassandra use.
This book also contains some value adds comming in many hands on books. Such as it covers third party tools. Also like most good hands on style book it gives you the code to look at and play with. The author also does a good job of explaining things in a in-depth manner and links to other documents when he feels it would be useful. This helps to give the reader a better understanding of how things work and makes for a more useful reading experience. Overall I thought the book was useful and worth a read!
Most Recent Customer Reviews
Probably I was looking a book that help me understand the whole theorical concepts behind non-relational DB. Read morePublished 15 months ago by Claudio
The content in this book is enough to understand that the author is competent with the technology. But the cookbook format severely limits the book's real usefulness. Read morePublished on February 17, 2013 by B3n S6z
This book does a few great things just by its format:
1. Lists out the kinds of things you should probably want to do with Cassandra.
2. Read more
I have been working with RDBMS for past 20 years and finally have a chance to involve with NoSQL and Big data. Cassandra is first NoSQL I begin with. Read morePublished on May 17, 2012 by Feng Qu