MongoDB

MongoDB in Action: Covers MongoDB version 3.0 2nd Edition

MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers.

MongoDB Applied Design Patterns: Practical Use Cases with the Leading NoSQL Database 1st Edition

Whether you’re building a social media site or an internal-use enterprise application, this hands-on guide shows you the connection between MongoDB and the business problems it’s designed to solve. You’ll learn how to apply MongoDB design patterns to several challenging domains, such as ecommerce, content management, and online gaming.

MongoDB: The Definitive Guide, 2nd Edition: Powerful and Scalable Data Storage

Manage the huMONGOus amount of data collected through your web application with MongoDB. This authoritative introduction—written by a core contributor to the project—shows you the many advantages of using document-oriented databases, and demonstrates how this reliable, high-performance system allows for almost infinite horizontal scalability.

The Definitive Guide to MongoDB, 3rd Edition: A complete guide to dealing with Big Data using MongoDB

The Definitive Guide to MongoDB, Third Edition, is updated for MongoDB 3 and includes all of the latest MongoDB features, including the aggregation framework introduced in version 2.2 and hashed indexes in version 2.4. The Third Edition also now includes Python.

Pro MongoDB™ Development

Pro MongoDB Development is about MongoDB, a NoSQL database based on the BSON (binary JSON) document model. The book discusses all aspects of using MongoDB in web applications: Java, PHP, Ruby, JavaScript are the most commonly used programming/scripting languages and the book discusses accessing MongoDB database with these languages. The book also discusses using Java EE frameworks Kundera and Spring Data with MongoDB. As NoSQL databases are commonly used with the Hadoop ecosystem the book also discusses using MongoDB with Apache Hive. Migration from other NoSQL databases (Apache Cassandra and Couchbase) and from relational databases (Oracle Database) is also discussed

The Definitive Guide to MongoDB The NoSQL Database for Cloud and Desktop Computing

MongoDB, a cross-platform NoSQL database, is the fastest-growing new database in the world. MongoDB provides a rich document-oriented structure with dynamic queries that you’ll recognize from RDBMS offerings such as MySQL. In other words, this is a book about a NoSQL database that does not require the SQL crowd to re-learn how the database world works! MongoDB has reached 1.0 and boasts 50,000+ users. The community is strong and vibrant and MongoDB is improving at a fast rate. With scalable and fast databases becoming critical for today’s applications, this book shows you how to install, administer and program MongoDB without pretending SQL never existed.

MongoDB The Definitive Guide

Discover how MongoDB can help you manage a huMONGOus amount of data collected through your web application. This book covers the basic principles and advanced uses of this document-oriented database, and demonstrates why MongoDB is one of the fastest-growing databases. Learn how MongoDB handles data as self-contained JSON-style documents, rather than as records in different relational database tables -- and why MongoDB is scalable, high-performance, and reliable. This authoritative introduction, written by two software engineers from the company that develops this open-source database, offers guidance for programmers and advanced configuration for system administrators.

Data Modeling for MongoDB

Congratulations! You completed the MongoDB application within the given tight timeframe and there is a party to celebrate your application's release into production. Although people are congratulating you at the celebration, you are feeling some uneasiness inside. To complete the project on time required making a lot of assumptions about the data,

 

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