Eelco Plugge was born in 1986 in the Netherlands and quickly developed an interest in computers and everything revolving around them. He enjoyed a study at the ICT Academy in Amersfoort, after which he eventually ended up as a data encryption specialist working at McAfee at the age of 21. He's a young BCS Professional member and shows a great interest in everything IT- and security-related, but also everything related to the Japanese language and culture. He is working upon expanding his field of expertise through studies and maintaining a young family while at it.

Hailing from the U.K., Peter Membrey has worked for Red Hat, holds a RHCE certification, and worked and taught at a number of educational institutions since the beginning of his career. He knows what Linux users like and need, and hopes that CentOS will get the kudos it deserves. He lives in Hong Kong and is teaching and consulting on all matters to do with Linux Enterprise networking, while studying for his master's degree.

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The Definitive Guide to MongoDB, Second Edition, is updated for the latest version and includes all of the latest MongoDB features, including the aggregation framework introduced in version 2.2 and hashed indexes in version 2.4. MongoDB is the most popular of the "Big Data" NoSQL database technologies, and it's still growing. David Hows from 10gen, along with experienced MongoDB authors Peter Membrey and Eelco Plugge, provide their expertise and experience in teaching you everything you need to know to become a MongoDB pro.

What you’ll learn

Set up MongoDB on all major server platforms, including Windows, Linux, OS X, and cloud platforms like Rackspace, Azure, and Amazon EC2

Work with GridFS and the new aggregation framework

Work with your data using non-SQL commands

Write applications using either PHP or Python

Optimize MongoDB

Master MongoDB administration, including replication, replication tagging, and tag-aware sharding

Who this book is for

Database admins and developers who need to get up to speed on MongoDB and its Big Data, NoSQL approach to dealing with data management.