Books & Videos

Table of Contents

  1. Background

    1. Chapter 1 The Spring Data Project

      1. NoSQL Data Access for Spring Developers
      2. General Themes
      3. The Domain
      4. The Sample Code
    2. Chapter 2 Repositories: Convenient Data Access Layers

      1. Quick Start
      2. Defining Query Methods
      3. Defining Repositories
      4. IDE Integration
    3. Chapter 3 Type-Safe Querying Using Querydsl

      1. Introduction to Querydsl
      2. Generating the Query Metamodel
      3. Integration with Spring Data Repositories
  2. Relational Databases

    1. Chapter 4 JPA Repositories

      1. The Sample Project
      2. The Traditional Approach
      3. Bootstrapping the Sample Code
      4. Using Spring Data Repositories
    2. Chapter 5 Type-Safe JDBC Programming with Querydsl SQL

      1. The Sample Project and Setup
      2. The QueryDslJdbcTemplate
      3. Executing Queries
      4. Insert, Update, and Delete Operations
  3. NoSQL

    1. Chapter 6 MongoDB: A Document Store

      1. MongoDB in a Nutshell
      2. Setting Up the Infrastructure Using the Spring Namespace
      3. The Mapping Subsystem
      4. MongoTemplate
      5. Mongo Repositories
    2. Chapter 7 Neo4j: A Graph Database

      1. Graph Databases
      2. Neo4j
      3. Spring Data Neo4j Overview
      4. Modeling the Domain as a Graph
      5. Persisting Domain Objects with Spring Data Neo4j
      6. Combining Graph and Repository Power
      7. Advanced Graph Use Cases in the Example Domain
      8. Transactions, Entity Life Cycle, and Fetch Strategies
      9. Advanced Mapping Mode
      10. Working with Neo4j Server
      11. Continuing From Here
    3. Chapter 8 Redis: A Key/Value Store

      1. Redis in a Nutshell
      2. Connecting to Redis
      3. Object Conversion
      4. Object Mapping
      5. Atomic Counters
      6. Pub/Sub Functionality
      7. Using Spring’s Cache Abstraction with Redis
  4. Rapid Application Development

    1. Chapter 9 Persistence Layers with Spring Roo

      1. A Brief Introduction to Roo
      2. Roo’s Persistence Layers
      3. Quick Start
      4. A Spring Roo JPA Repository Example
      5. A Spring Roo MongoDB Repository Example
    2. Chapter 10 REST Repository Exporter

      1. The Sample Project
  5. Big Data

    1. Chapter 11 Spring for Apache Hadoop

      1. Challenges Developing with Hadoop
      2. Hello World
      3. Hello World Revealed
      4. Hello World Using Spring for Apache Hadoop
      5. Scripting HDFS on the JVM
      6. Combining HDFS Scripting and Job Submission
      7. Job Scheduling
    2. Chapter 12 Analyzing Data with Hadoop

      1. Using Hive
      2. Using Pig
      3. Using HBase
    3. Chapter 13 Creating Big Data Pipelines with Spring Batch and Spring Integration

      1. Collecting and Loading Data into HDFS
      2. Hadoop Workflows
      3. Exporting Data from HDFS
      4. Collecting and Loading Data into Splunk
  6. Data Grids

    1. Chapter 14 GemFire: A Distributed Data Grid

      1. GemFire in a Nutshell
      2. Caches and Regions
      3. How to Get GemFire
      4. Configuring GemFire with the Spring XML Namespace
      5. Data Access with GemfireTemplate
      6. Repository Usage
      7. Continuous Query Support
  1. Bibliography

  2. Colophon