Pro Couchbase Server is a hands-on guide for developers and administrators who want to take advantage of the power and scalability of Couchbase Server in their applications. This book takes you from the basics of NoSQL database design, through application development, to Couchbase Server administration. Never have document databases been so powerful and performant.

The NoSQL movement has fundamentally changed the database world in recent years. Influenced by the growing needs of web-scale applications, NoSQL databases such as Couchbase Server provide new approaches to scalability, reliability, and performance. With the power and flexibility of Couchbase Server, you can model your data however you want, and easily change the data model any time you want. Pro Couchbase Server shows what is possible and helps you take full advantage of Couchbase Server and all the performance and scalability that it offers.

Helps you design and develop a document database using Couchbase Server.
Takes you through deploying and maintaining Couchbase Server.
Gives you the tools to scale out your application as needed.

About the Author

Yaniv Rodenski is a Senior Architect at Sela Group, a speaker, an author and an all-around nerd. Yaniv has been developing software as a hobby from a young age, and professionally since 1997. Yaniv is the founder and co-manager of the Windows Azure User Group in Israel, the co-author of the "Developing Windows Azure and Web Services" Microsoft official course (20487), and has contributed to official Microsoft training materials on Windows Azure, Windows 2008 R2 HPC Server and HDInsight (Hadoop) over the years.

David Ostrovsky is a Senior Consultant at Sela Group and a software development trainer. He is co-author of two Microsoft official courses: Essentials of Developing Windows Store Apps Using C# (course #20484), and of Advanced Windows Store App Development Using C# (course #20485). David has been a computer geek since the age of 12, and a professional software developer since 1999. He specializes in application performance tuning, and in data analysis.

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