The Berkeley DB Book - Yadava, Himanshu
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The Berkeley DB Book is intended to be a practical guide to the intricacies of Berkeley DB; an in-depth analysis of the complex design issues which are often covered in terse footnotes in the dense Berkeley DB reference manual. It explains the technology at a higher level and also covers the internals with generous code and design examples. Berkeley DB is becoming the database of choice for appliance makers and for in memory cache of large scale applications like search engines and high traffic web sites.

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Produktbeschreibung
The Berkeley DB Book is intended to be a practical guide to the intricacies of Berkeley DB; an in-depth analysis of the complex design issues which are often covered in terse footnotes in the dense Berkeley DB reference manual. It explains the technology at a higher level and also covers the internals with generous code and design examples. Berkeley DB is becoming the database of choice for appliance makers and for in memory cache of large scale applications like search engines and high traffic web sites.
Autorenporträt
Himanshu Yadava is a software developer and provides software design and development consultancy through his company BitSeer, Inc. His areas of interest include embedded databases, fault tolerance and monitoring/management frameworks. Previously, he has worked in various technical roles at Oracle, Kineto Wireless, ProactiveNet (now a part of BMC software) and Infosys Technologies. He maintains a Berkeley DB information page on his company's website, http://www.bitseer.com.
Rezensionen
From the reviews:

"The book is aimed at a wide range of developers, from those who know nothing of Berkeley DB to those who are very familiar with Berkeley DB ... . it can be used for teaching, and perhaps also as a reference book for developers of applications that require a time-constraint response, especially embedded applications. ... I recommend this book to those who need to develop a scalable, fault-tolerant, embedded database application in open source." (E. A. Unger, ACM Computing Reviews, Vol. 49 (11), November, 2008)