MongoDB Cookbook - Second Edition

丛 书 名：Quick Answers to Common Problems

版本说明：2

作     者：Dasadia, Cyrus Nayak, Amol 

I S B N：(纸本) 9781785289989;9781785286827 

出 版 社：Packt Publishing 

出 版 年：2016年

页      数：371页

主 题 词：Databases Non-relational databases 

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：About This BookGet to grips with the latest features of MongoDB 3Interact with the MongoDB server and perform a wide range of query operations from the shellFrom administration to automation, this cookbook keeps you up to date with the world s leading NoSQL databaseWho This Book Is ForThis book is designed for administrators and developers who are interested in knowing MongoDB and using it as a high-performance and scalable data storage. It is also for those who know the basics of MongoDB and would like to expand their knowledge. The audience of this book is expected to have at least some basic knowledge of *** You Will LearnInstall, configure, and administer MongoDB sharded clusters and replica setsBegin writing applications using MongoDB in Java and PythonInitialize the server in three different modes with various configurationsPerform cloud deployment and introduce PaaS for MongoTake an in-depth look at the Mongo programming driver APIs in Java and PythonSet up enterprise-class monitoring and backups of MongoDBIn DetailMongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of the systems that power a lot of organizations in different domains. Though it is feature rich and simple to use, developers and administrators often need a quick solution for various problems they may come *** book starts with an introduction to programming language drivers in both Java and Python. You will then learn a variety of topics, including advanced query operations and features with MongoDB, monitoring and backup using MMS, and some very handy administration recipes. After that, there are recipes on cloud deployment, which feature Docker containers, integration with Hadoop, and improving developer productivity.