MongoDB for Java Developers

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Author : Consultants Network
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Author : Francesco Marchioni
Genre : Java (Computer program language)

Summary : Design, build, and deliver efficient Java applications using the most advanced NoSQL databaseAbout This Book- Reuse the skills you have acquired through Hibernate or Spring to promote your applications to use NoSQL storage- Explore the list of libraries that are already available to assist you in developing Java EE applications with MongoDB- A step-by-step tutorial to create leaner and faster applications using MongoDBIn DetailThe NoSQL movement is growing in relevance, attracting more and more developers. The MongoDB database is a well-recognized rising star in the NoSQL world. It is a document database, which allows data persistence and enables you to query data in a nested state without any schema constraint and complex joins between documents.This book provides all the knowledge you need to make MongoDB fit in your application schema, at the best of its capabilities. It starts from a basic introduction to the driver that can be used to perform some low-level interaction with the storage. Then it moves to use different patterns to abstract the persistence layer into your applications, starting from the flexible Google JSON library to the Hibernate OGM Framework and finally landing on the Spring data framework.By the end of this book, you will know everything you need to use MongoDB in your Java applications.What You Will Learn- Install MongoDB and its client tools- Set up a basic project that uses a MongoDB driver and perform CRUD operations with it- Explore simple strategies for mapping Mongo documents with Java classes- Use bulk operations to speed up the creation of massive document- Design and develop a Java Enterprise application that uses MongoDB as storage- Develop and deploy an application that uses Hibernate OGM as a persistence layer for your entities- Use Spring Data and Spring Boot to leverage micro-services using MongoDB as storageWho This Book Is ForThis book is for Java developers and architects that want to learn how to develop Java applications using the most popular NoSQL solution and the use cases of it.Style and approachA simple, tutorial-like approach is used to explain the concepts contained in the book in the simplest possible way. The chapters of this book are arranged so that complexity increases progressively as you gain more experience from the earlier chapters.

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Author : Deepak Vohra
Genre : Computers

Summary : 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. What You'll Learn: How to use a Java client and MongoDB shell How to use MongoDB with PHP, Ruby, and Node.js as well How to migrate Apache Cassandra tables to MongoDB documents; Couchbase to MongoDB; and transferring data between Oracle and MongoDB How to use Kundera, Spring Data, and Spring XD with MongoDB How to load MongoDB data into Oracle Database and integrating MongoDB with Oracle Database in Oracle Data Integrator Audience: The target audience of the book is NoSQL database developers. Target audience includes Java, PHP and Ruby developers. The book is suitable for an intermediate level course in NoSQL database.

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Author : Anghel Leonard
Genre : Computers

Summary : Shows how to use and integrate Hibernate and MongoDB. More specifically, this book guides you through the bootstrap; building transactions; handling queries and query entities; and mappings.

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Author : Cyrus Dasadia
Genre : Computers

Summary : Harness the latest features of MongoDB 3 with this collection of 80 recipes – from managing cloud platforms to app development, this book is a vital resource About This Book Get to grips with the latest features of MongoDB 3 Interact with the MongoDB server and perform a wide range of query operations from the shell From administration to automation, this cookbook keeps you up to date with the world's leading NoSQL database Who This Book Is For This book is engineered for anyone who is interested in managing data in an easy and efficient way using MongoDB. You do not need any prior knowledge of MongoDB, but it would be helpful if you have some programming experience in either Java or Python. What You Will Learn Install, configure, and administer MongoDB sharded clusters and replica sets Begin writing applications using MongoDB in Java and Python languages Initialize the server in three different modes with various configurations Perform cloud deployment and introduce PaaS for Mongo Discover frameworks and products built to improve developer productivity using Mongo Take an in-depth look at the Mongo programming driver APIs in Java and Python Set up enterprise class monitoring and backups of MongoDB In Detail 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. Style and approach Every recipe is explained in a very simple set-by-step manner yet is extremely comprehensive.

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Author : Mark Pollack
Genre : Computers

Summary : You can choose several data access frameworks when building Java enterprise applications that work with relational databases. But what about big data? This hands-on introduction shows you how Spring Data makes it relatively easy to build applications across a wide range of new data access technologies such as NoSQL and Hadoop. Through several sample projects, you’ll learn how Spring Data provides a consistent programming model that retains NoSQL-specific features and capabilities, and helps you develop Hadoop applications across a wide range of use-cases such as data analysis, event stream processing, and workflow. You’ll also discover the features Spring Data adds to Spring’s existing JPA and JDBC support for writing RDBMS-based data access layers. Learn about Spring’s template helper classes to simplify the use ofdatabase-specific functionality Explore Spring Data’s repository abstraction and advanced query functionality Use Spring Data with Redis (key/value store), HBase(column-family), MongoDB (document database), and Neo4j (graph database) Discover the GemFire distributed data grid solution Export Spring Data JPA-managed entities to the Web as RESTful web services Simplify the development of HBase applications, using a lightweight object-mapping framework Build example big-data pipelines with Spring Batch and Spring Integration