Amol Nayak

Instant MongoDB (eBook, PDF)

• Format: PDF

Produktbeschreibung

MongoDB is a high-performance and feature-rich Document Orientated Database. This popular, highly scalableNoSQL database is used to power some of the world's most used applications and websites.

MongoDB Starter is designed to get you working with MongoDB as quickly as possible. Starting with the installation and setup, we quickly show you how to start importing your data into the database. Furthermore, you will learn about CRUD operations in MongoDB, its Map Reduce support, schema design, and performance tuning operations.

After successfully installing and setting up MongoDB, you will be introduced to important configuration parameters and the terminologies used in the Mongo world and their equivalent in the relational world. You will learn how to import data into the database and connect to the MongoDB from the Mongo shell and execute some queries. We will then move on to advanced topics such as performing insert, update and upsert(update + insert) operations, executing advanced queries, schema design concepts, and creating indexes for performance. MongoDB Starter finishes with a look at the new aggregation framework, Map Reduce operations, and how to bulk import and export data.

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Produktdetails

• Verlag: Packt Publishing Pvt. Ltd.
• Seitenzahl: 72
• Erscheinungstermin: 26. Juli 2013
• Englisch
• ISBN-13: 9781782169710
• Artikelnr.: 56824262

Autorenporträt

Amol Nayak has been working with Java/JEE for the last 7 years and is currently employed at a leading investment bank working on some cutting-edge technologies, predominantly open source. He is currently playing around with MongoDB by developing prototypes for various use cases at his workplace. He is an open source enthusiast and supports it by contributing to open source frameworks and promoting them. He has made a significant on-going contribution to the Spring Integration project where he has contributed to various adapters for JPA, XQuery, MongoDB, Push notification to mobile devices, and Amazon Web Services (AWS). He has also made some contributions to the Spring Data Mongo project.