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Practical Cassandra: A Developer's Approach (Addison-Wesley Data and Analytics) [Englisch] [Taschenbuch]

Russell Bradberry , Eric Lubow

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Kurzbeschreibung

19. Dezember 2013 Addison-Wesley Data and Analytics
"Eric and Russell were early adopters of Cassandra at SimpleReach. In Practical Cassandra, you benefit from their experience in the trenches administering Cassandra, developing against it, and building one of the first CQL drivers. If you are deploying Cassandra soon, or you inherited a Cassandra cluster to tend, spend some time with the deployment, performance tuning, and maintenance chapters...If you are new to Cassandra, I highly recommend the chapters on data modeling and CQL." -From the Foreword by Jonathon Ellis, Apache Cassandra Chair Build and Deploy Massively Scalable, Super-fast Data Management Applications with Apache Cassandra Practical Cassandra is the first hands-on developer's guide to building Cassandra systems and applications that deliver breakthrough speed, scalability, reliability, and performance. Fully up to date, it reflects the latest versions of Cassandra-including Cassandra Query Language (CQL), which dramatically lowers the learning curve for Cassandra developers. Pioneering Cassandra developers and Datastax MVPs Russell Bradberry and Eric Lubow walk you through every step of building a real production application that can store enormous amounts of structured, semi-structured, and unstructured data. Drawing on their exceptional expertise, Bradberry and Lubow share practical insights into issues ranging from querying to deployment, management, maintenance, monitoring, and troubleshooting. The authors cover key issues, from architecture to migration, and guide you through crucial decisions about configuration and data modeling. They provide tested sample code, detailed explanations of how Cassandra works "under the covers," and new case studies from three cutting-edge users: Ooyala, Hailo, and eBay. Coverage includes * Understanding Cassandra's approach, architecture, key concepts, and primary use cases- and why it's so blazingly fast* Getting Cassandra up and running on single nodes and large clusters* Applying the new design patterns, philosophies, and features that make Cassandra such a powerful data store* Leveraging CQL to simplify your transition from SQL-based RDBMSes* Deploying and provisioning through the cloud or on bare-metal hardware* Choosing the right configuration options for each type of workload* Tweaking Cassandra to get maximum performance from your hardware, OS, and JVM* Mastering Cassandra's essential tools for maintenance and monitoring* Efficiently solving the most common problems with Cassandra deployment, operation, and application development

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Russell Bradberry (Twitter: @devdazed) is the principal architect at SimpleReach, where he is responsible for designing and building out highly scalable, high-volume, distributed data solutions. He has brought to market a wide range of products, including a real-time bidding ad server, a rich media ad management tool, a content recommendation system, and, most recently, a real-time social intelligence platform. He is a U.S. Navy veteran, a DataStax MVP for Apache Cassandra, and the author of the NodeJS Cassandra driver Helenus. Eric Lubow (Twitter: @elubow) is currently chief technology officer of SimpleReach, where he builds highly scalable, distributed systems for processing social data. He began his career building secure Linux systems. Since then he has worked on building and administering various types of ad systems, maintaining and deploying large-scale Web applications, and building email delivery and analytics systems. He is also a U.S. Army combat veteran and a DataStax MVP for Apache Cassandra. Eric and Russ are regular speakers about Cassandra and distributed systems, and both live in New York City.

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Amazon.com: 2.7 von 5 Sternen  3 Rezensionen
7 von 7 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Current and contains lots of useful stuff, but somewhat disorganized and lacking depth 4. Januar 2014
Von Clinton Kelly - Veröffentlicht auf Amazon.com
Format:Kindle Edition|Verifizierter Kauf
I was very excited to read this book as there are not many Cassandra books out there, and those that are available are usually far out of date. Cassandra is currently on version 2.0.4, and Cassandra: The Definitive Guide and Cassandra: High Performance Cookbook cover only versions 0.7 and 0.8, respectively.

This book for me was a mixed bag. Especially given the title of the book, I was expecting to get a lot of the following:

- Details about how Cassandra works, e.g., low-level descriptions of the steps that occur during writes and reads, how data is serialized, how compaction works

- Reasonably in-depth examples that use the Java drivers to build interesting applications on top of Cassandra

I found neither of those things here. The descriptions the Cassandra implementation (MemTables, SSTables, etc.) don't appear until Chapter 11 (and are *very* brief), and the section about the Java driver contains only a single, trivial example.

I also found the organization of the book to be somewhat confusing. For example, the "performance tuning" and "troubleshooting" chapters (Chapters 6 and 10, respectively) come before the "architecture" chapter, which I found very strange. It was not clear to me how a reader is meant to read a section about how to tune a MemTable before the authors have described what a MemTable is and how it works. The book frequently references Cassandra terms before explaining them, which is fine if you are already fairly familiar with Cassandra, but makes reading the book confusing and potentially frustrating for a beginner.

That said, there is a lot of really good stuff in this book. The high-level descriptions of Cassandra I thought were quite good, and I enjoyed the historical perspectives that the authors use when describing Cassandra, CQL, etc. There are also a lot of good tips about performance tuning, debugging, etc.

Overall, this book was not what I was looking for, nor what I expected given its title. For those who are more interested in performance tuning and debugging, perhaps this book is a good purchase, but if you are new to Cassandra and looking to get started writing a few simple apps, I recommend looking at some of the documentation and YouTube videos online from places like DataStax.
2 von 2 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen This book unfortunately is nothing more than extended Wikipedia article on Cassandra. 31. März 2014
Von Henry Resheto - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Verifizierter Kauf
This is quite disappointing book. Just because there are not very many books on Cassandra does not make this a good one.

I am not a newbie to nosql databases, I have done a lot of work with MongoDB and I was hoping that “Practical” word in the title would allow me to jump directly into practical aspects of using Cassandra. But it was not the case. There are a few if any practical examples to follow. I would be thrilled, for example, to set up six node Casandra cluster (my home PC is perfectly capable to run six virtual machines on it) and run bunch of exercises playing with various aspects of functionality. Respectively I would appreciate if the book provides step-by-step instruction how to do that, but there was no such thing, not even close.

Furthermore, even theoretical material is laid out very poorly. Take for example the concept of Consistency Level (CL). As far as I understand that is one of the most central concepts in Cassandra, but there is no chapter that would systematically and methodically explain what it is and how to use it. CL is first mentioned on page 6 and all that is said about them is that they are “tunable”. And no, contrary to what the Index at the end of the book says, page 3 and 4 does not talk about CL: page 3 and 4 mentions “consistency” but not “consistency level”. CL is mentioned few times here and there through the rest of book so if you read it several times (thankfully it is short) you can grasp the basic concept and get familiar with some of the possible values. But even after I have done so I am still puzzled. I understand the idea, but in practical terms what CL is? Is it property of Keyspace, or is it property of ColumnFamily? Is that option of INSERT/UPDATE statement or is it setting on a driver?

I will go google now to find answer to this question, but if you happen to know please share it here.
0 von 4 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Current and contains lost of useful information 9. Februar 2014
Von Hugh - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Verifizierter Kauf
The book mainly explains how to optimize Cassandra and not very much about how Cassandra works. Alot of the information found in the book can be found on the datastax website. I found the book explained it better then the datastax website and added a few extra points about each of the topics.

Overall, i'd say there is alot of valuable information in the book and if your looking to get started with Cassandra or even understand how it could fit into your project, this book is worth a read.
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