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Cassandra: The Definitive Guide, by Jeff Carpenter, Eben Hewitt
Get Free Ebook Cassandra: The Definitive Guide, by Jeff Carpenter, Eben Hewitt
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Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition—updated for Cassandra 3.0—provides the technical details and practical examples you need to put this database to work in a production environment.
Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s non-relational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility.
- Understand Cassandra’s distributed and decentralized structure
- Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell
- Create a working data model and compare it with an equivalent relational model
- Develop sample applications using client drivers for languages including Java, Python, and Node.js
- Explore cluster topology and learn how nodes exchange data
- Maintain a high level of performance in your cluster
- Deploy Cassandra on site, in the Cloud, or with Docker
- Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene
- Sales Rank: #53066 in Books
- Published on: 2016-07-22
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x .70" w x 7.00" l, .0 pounds
- Binding: Paperback
- 370 pages
About the Author
Jeff Carpenter is a software and systems architect with experience in the hospitality and defense industries. Jeff cut his teeth as an architect in the early days of Service-Oriented Architecture (SOA) and has worked on projects ranging from a complex battle planning system in an austere network environment, to a cloud-based hotel reservation system. Jeff is passionate about projects and technologies that change industries, helping troubled projects find architectural solutions, and mentoring other architects and developers.
Eben Hewitt is Director of Application Architecture at a publicly traded company where he is responsible for the design of their mission-critical, global-scale web, mobile and SOA integration projects. He has written several programming books, including Java SOA Cookbook (O'Reilly).
Most helpful customer reviews
1 of 2 people found the following review helpful.
A very good read for anyone getting into this technology
By Amazon Customer
a massive steak dinner of a book about Cassandra. A very good read for anyone getting into this technology.
1 of 1 people found the following review helpful.
Excellent Guide to Cassandra
By Amazon Customer
I've read a couple of books on Cassandra, and this book is by the far the best I have read. Throughout the book it is clear the authors have a deep knowledge of Cassandra both from a developer and operator's perspective. They provide not only a thorough guide to Cassandra internals, including references to the Java classes which implement certain features, but also cover how to deploy Cassandra, design your table schemas, and integrate Cassandra with other tools, particularly Apache Spark. I had a fair amount of experience with Cassandra before reading this book, yet I still learned new details which I was unaware of and came to understand better features and functionality with which I was already familiar. Furthermore, the author's process for designing your schemas is the best I have ever come across, and I will certainly refer back to this book in the future when I have to design new tables. Ultimately, I highly recommend this book both for those who are completely new to Cassandra as well as others who are more experienced with Cassandra but want to expand or solidify their current knowledge of Cassandra.
0 of 0 people found the following review helpful.
Very good, could still be better.
By Geoff Arnold
First and foremost, this is an excellent book on Cassandra. At this point, it has 100% five-star reviews, and I'm happy to add another one. If you're working with Cassandra (or thinking about it, etc.) you need this book.
With that out of the way, let me focus on a couple of the gaps and weaknesses in the Second Edition, with the hope that perhaps I can provoke Jeff and Eben into coming up with an even better Third Edition.
First, Cassandra is going to be just one element of a distributed system. As such, it needs to be manageable as part of the whole system, rather than in isolation. So let's include approaches such as Yelp's, or the use of tools like Nagios and Grafana. (Search for "Monitoring Cassandra at Scale", for example.)
Second, the authors are too quick to dismiss container technologies like Docker. Automated, containerized deployment is inevitable, and we need to understand how Cassandra deployments are going to work with Kubernetes, CloudFoundry, and OpenShift.
Third, the coverage of Cassandra in the cloud is a bit perfunctory. Mapping a large scale Cassandra topology onto VPCs, AZs, and geographical regions is non-trivial, especially when it comes to network design.
Fourth, I'd like to see more scorpions: more "Warnings and Caution" sidebars. I'd particularly like them to be a bit more opinionated on topics like repair policy, sizing, and which metrics to pay attention to. The Netflix and Yelp teams have published quite a bit of good material.
Overall, a very good book - but it could still be better!
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