Written in a friendly, example-driven Beginner's Guide format, there are plenty of step-by-step instructions and examples that are designed to help you get started with RavenDB. If you are a .NET developer, new to document-oriented databases, and you wish to learn how to build applications using NoSQL databases, then this book is for you. Experience with relational database systems will be helpful, but not necessary.

About the Author

Khaled Tannir

Khaled Tannir has been working with computers since 1980. He began programming with the legendary Sinclair Zx81 and with Commodore home computer products (Vic 20, Commodore 64, Commodore 128D, and Amiga 500).

He has a Bachelor's degree in Electronics, a Master's degree in System Information Architectures, in which he graduated with a professional thesis, and completed his education with a Research Master's degree.

He is a Microsoft Certified Application Developer (MCAD) and has more than twenty years of technical experience leading the development and implementation of software solutions and giving technical presentations. He now works as an independent IT consultant and has worked as an infrastructure engineer, senior developer, and enterprise/solution architect for many companies in France and Canada. With very significant experience in Microsoft .NET and Microsoft Servers Systems, he has extensive skills in online/offline applications design, system conversions, and multilanguage applications.

He is always researching new technologies, learning about them, and looking for new adventures between France, Canada, and the Middle-east. He owns an IT and electronics laboratory with many servers, monitors, open electronics boards such as Arduino, Netduino, RaspBerry, and .NET Gadgeteer, and some smartphone devices based on Windows Phone, Android, and iOS operating systems.

In 2012, he contributed to the EGC 2012 (International Complex Data Mining forum at Bordeaux University, France) and presented, in a workshop session, his work about "how to optimize data distribution in a cloud computing environment". This work aims to define an approach to optimize the of Data Mining algorithms such as k-means and Apriori in a cloud computing environment.

He aims to get a PhD in Cloud Computing and Big Data and wants to learn more and more about these technologies.

He enjoys taking landscape and night photos, traveling, playing video games, creating funny electronic gadgets with Arduino/.NET Gadgeteer, and, of course, spending time with his wife and family.

You can reach him at contact@khaledtannir.net.

"About this title" may belong to another edition of this title.

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