Book Image

MongoDB Cookbook - Second Edition - Second Edition

By : Amol Nayak
Book Image

MongoDB Cookbook - Second Edition - Second Edition

By: Amol Nayak

Overview of this book

MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of the systems that power many different organizations – it’s easy to see why it’s the most popular NoSQL database on the market. Packed with many features that have become essential for many different types of software professionals and incredibly easy to use, this cookbook contains many solutions to the everyday challenges of MongoDB, as well as guidance on effective techniques to extend your skills and capabilities. This book starts with how to initialize the server in three different modes with various configurations. You will then be introduced to programming language drivers in both Java and Python. A new feature in MongoDB 3 is that you can connect to a single node using Python, set to make MongoDB even more popular with anyone working with Python. You will then learn a range of further topics including advanced query operations, monitoring and backup using MMS, as well as some very useful administration recipes including SCRAM-SHA-1 Authentication. Beyond that, you will also find recipes on cloud deployment, including guidance on how to work with Docker containers alongside MongoDB, integrating the database with Hadoop, and tips for improving developer productivity. Created as both an accessible tutorial and an easy to use resource, on hand whenever you need to solve a problem, MongoDB Cookbook will help you handle everything from administration to automation with MongoDB more effectively than ever before.
Table of Contents (17 chapters)
MongoDB Cookbook Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

About the Reviewers

Christopher Dambamuromo is a MongoDB evangelist who is an active contributor to StackOverflow on the MongoDB tag. Chris frequently engages the open source community and foster adoption of MongoDB. He helps engineering teams build scalable and performant applications in MongoDB. He also assesses the health, scalability, and capacity of distributed systems and advises engineering teams on the schema design, architecture, and deployment planning. He is a passionate and proficient C#/BI developer with more than 10 years of experience producing code to a consistently high standard. Chris has constantly been honing his skills in the technical aspects of software and business intelligence engineering (JavaScript, Node.js, HTML5, CSS3, Python, R, Java, ASP.NET MVC, C# Microsoft BI stack—MS SQL server, SSIS, SSRS, SSAS, SharePoint, and PowerPivot), data modeling, systems architecture, as well as business applications for BI solutions. He has an MSc degree in intelligent computer systems from the University of Glamorgan (UK), an MSc degree in mathematics and computing for finance from Swansea University, UK, and a BSc degree with honours in applied mathematics from the National University of Science and Technology, Zimbabwe. Chris is very fond of anything closely or remotely related to data and mathematics, and as long as it can be represented as a string of ones and zeros and then analyzed and visualized, you've got his attention! His GitHub handle is http://github.com/chrisdamba and can be found on StackOverflow as http://stackoverflow.com/users/122005/chridam.

Laurence Putra Franslay is a software engineer working in Singapore and runs the Singapore MongoDB user group. In his free time, he hacks away on random stuff and picks up new technologies. His key interests lie in security and distributed systems. For more information, view his profile at http://geeksphere.net/.