Gain insights into integrating Spring Data with databases like JDBC, JPA, MongoDB, Redis, Neo4j, Cassandra, and Elasticsearch. Learn to create applications connecting seamlessly to diverse data sources.

spring_data.tar.gz

spring_data_chapter1

spring_data_jdbc_chapter3

spring_data_jpa_chapter4

spring_data_mongodb_chapter5

spring_data_redis_chapter6

spring_data_couchbase_chapter7

spring_data_elasticsearch_chapter8

spring_data_neo4j_chapter9

spring_data_cassandra_chapter10

spring_data_geode_chapter11

spring_data_solr_chapter12

spring_data_chapter2

spring_data_mongodb_chapter5-transaction

This course will teach you how to seamlessly integrate Spring Data with various data sources, including relational and nonrelational databases, map-reduce frameworks, and cloud-based data services. 

You’ll start this course by exploring Spring Data JDBC and Spring Data JPA for efficient access to relational databases. Next, you’ll dive into NoSQL databases with Spring Data MongoDB and Spring Data Redis, venture into graph databases with Spring Data Neo4j, and explore the world of distributed databases with Spring Data for Apache Cassandra. Lastly, you’ll discover the power of Spring Data Elasticsearch. 

By the end of this course, you’ll emerge equipped with the knowledge and skills to leverage Spring Data effectively in diverse data-driven scenarios. You’ll be able to create applications seamlessly integrated with various data sources. This proficiency in Spring Data will enable you to design, build, and maintain applications that interact effortlessly with databases and data services.

Spring Data: Bridging Multiple Databases

Extend the existing library management system to include a reservation queue for popular books. We should allow users to join a reservation queue to be notified when the book becomes available.

In this challenge, complete the following tasks:

1. Add the `Boolean` `available` property to the `Book` POJO class.

1. Create the `User` class in the `com.smartdiscover.model` package to store the user in Redis.

1. Add properties like `id`, `firstName`, and `lastName` to the `User` class and add annotations to transform the POJO into a Redis hash.

1. Create the `BookLoanEntry` class in the `com.smartdiscover.model` package to 
store the loan entry in Redis.

1. Add properties like `id`, `user`, `loanDate`, `dueDate`, `returnDate`, and `status` to the `BookLoanEntry` POJO and add annotations to transform the POJO into a Redis hash for managing the book loan.

1. Create the `ReservationQueue` class in the `com.smartdiscover.model` package to keep a book reservation queue in Redis.

1. Add properties like `id`, `bookName`, and a list of `user` to the `ReservationQueue` class along with the annotations to transform the POJO into a Redis hash.

1. Add a method in the `BookRepository` repository to search the `Book` object with the matching `name`.

1. Create repositories like `UserRepository`, `BookLoanEntryRepository`, and `ReservationQueueRepository` in the `com.smartdiscover.repository` package for the corresponding `User`, `BookLoanEntry`, and `ReservationQueue` POJO classes.

1. Add the `findByFirstNameAndLastName` abstract method to the `UserRepository` to find a user matching the `firstName` and `lastName`.

1. Similarly, add the `findByBookName` abstract method to the `ReservationQueueRepository` to find a reservation queue for the book.

1. Inject all the repositories in the `SpringDataRedisApplication` and create methods like `loanBook` to loan a book if available. Otherwise, add the user to the reservation queue.

Challenge yourself to implement a reservation queue using Spring Data Redis.

Introduction to Spring Data

Spring Data in Detail

Spring Data JDBC

Spring Data JPA

Spring Data MongoDB

Spring Data Redis

Spring Data Couchbase

Spring Data Neo4j

Spring Data for Apache Cassandra

Spring Data Elasticsearch

Bank Management System

Wrapping Up

Challenge: Reservation Queue

Implement a reservation queue