Perform essential database tasks such as benchmarking the database and optimizing the server's memory usage
Learn ways to improve query performance and optimize the PostgreSQL server
Explore a wide range of high availability and replication mechanisms to build robust, highly available, scalable, and fault-tolerant PostgreSQL databases

Who This Book Is For

If you are a developer or administrator with limited PostgreSQL knowledge and want to develop your skills with this great open source database, then this book is ideal for you. Learning how to enhance the database performance is always an exciting topic to everyone, and this book will show you enough ways to enhance the database performance.

What You Will Learn

Build replication strategies for homogeneous and heterogeneous databases
Test and build a powerful machine with multiple bench marking techniques
Get to know a few SQL injection techniques
Find out how to manage the replication using multiple tools
Benchmark the database server using multiple strategies
Work with the query processing algorithms and their internal behaviors
Build a proper plan to upgrade or migrate to PostgreSQL from other databases
See the essential database load balancing techniques and the various partitioning approaches PostgreSQL provides
Learn memory optimization techniques and database server configurations

In Detail

L'autore

Dinesh Kumar is an enthusiastic open source developer and has written several open source tools for PostgreSQL. He recently announced pgBucket a brand-new job scheduler for PostgreSQL. He is also a frequent blogger (manojadinesh.blogpsot.com), where he talks more about PostgreSQL. He is currently working as Senior Database Engineer in OpenSCG and building the PostgreSQL cloud operations. He has 6+ years of experience as an Oralce, PostgreSQL database administrator and developer, and is currently focused on PostgreSQL.

Thanks to my loving parents, Sreenivasulu & Vanamma who raised me from a small village called Viruvuru, which is in the Nellore district of India. Thanks to my loving wife, Manoja, who enlightens my life with her wonderful support. Also, thanks to my friend Baji Shaik and coordinators Mayur Pawanikar and Nitin Dasan for their excellent support. Finally, thanks to every PostgreSQL contributor, author, and blogger.

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