PostgreSQL High Performance Cookbook
Kumar, Dinesh,Chauhan, Chitij
Venduto da HPB-Red, Dallas, TX, U.S.A.
Venditore AbeBooks dal 11 marzo 2019
Usato - Brossura
Condizione: Usato - Buono
Quantità: 1 disponibili
Aggiungere al carrelloVenduto da HPB-Red, Dallas, TX, U.S.A.
Venditore AbeBooks dal 11 marzo 2019
Condizione: Usato - Buono
Quantità: 1 disponibili
Aggiungere al carrelloConnecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Codice articolo S_324544139
Get to know effective ways to improve PostgreSQL's performance and master query optimization, and database monitoring.
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.
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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Quantità dell?ordine | Da 8 a 36 giorni lavorativi | Da 5 a 14 giorni lavorativi |
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