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Spring Data: Bridging Multiple Databases

Gain insights into integrating Spring Data with relational, NoSQL, graph, and distributed databases. Discover how to leverage Spring Data for seamless application and data service interactions.

4.8

79 Lessons

2 Projects

23h

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LEARNING OBJECTIVES

Hands-on experience integrating various data sources using Spring Data
Familiarity with Spring Data modules
An understanding of low-level standards for database interaction using Spring Data JDBC
Hands-on experience working with relational databases using Spring Data JPA
Familiarity with Spring Data capabilities like auditing, transactions, and caching
The ability to work with data sources like MongoDB, Redis, Couchbase, and Elasticsearch

Learning Roadmap

79 Lessons1 Project10 Quizzes

Introduction to Spring Data

Get familiar with Spring Data framework, configuring Spring Boot, and Domain-Driven Design principles.

Spring Data Framework

Configuration and Application Start-Up

Domain-Driven Design

Quiz: Introduction to Spring Data

Spring Data in Detail

Unpack the core of Spring Data modules, repositories, query methods, custom repositories, projections, domain events, and Querydsl integration.

Spring Data Commons

Spring Data Repositories

Query Methods

Custom Spring Data Repositories

Projection

Domain Events

Querydsl Extension

Quiz: Spring Data in Detail

Spring Data JDBC

6 Lessons

Work your way through Spring Data JDBC configuration, POJO integration, MyBatis uses, auditing, and locking.

Spring Data JPA

7 Lessons

Grasp the fundamentals of setting up, managing, and auditing data with Spring Data JPA.

Build a Full Stack Application Using Spring Boot and Thymeleaf

Project

Spring Data MongoDB

10 Lessons

Solve problems in integrating MongoDB with Spring Data, including querying, transactions, and auditing.

Spring Data Redis

10 Lessons

Tackle Spring Data Redis setup, object mapping, direct ops, messaging, streams, transactions, and reactive support for efficient application integration.

Spring Data Couchbase

9 Lessons

Practice using Spring Data Couchbase for efficient CRUD operations, transactions, and reactive programming.

Spring Data Neo4j

8 Lessons

Learn how to use Neo4j with Spring Data for efficient graph database integration.

Spring Data for Apache Cassandra

8 Lessons

Get started with integrating and utilizing Spring Data Cassandra for scalable, resilient applications.

10.

Spring Data Elasticsearch

8 Lessons

Work your way through setting up Spring Data Elasticsearch, object mapping, operations, reactive features, and auditing.

Bank Management System

Project

11.

Wrapping Up

Find out about implementing effective data persistence and optimizing data access.

Conclusion

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

ABOUT THIS COURSE

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.

ABOUT THE AUTHOR

Anshul Bansal

I am a full-stack J2EE developer with 11+ years of experience in various domains, seasoned in technologies like Grails & Groovy, Spring, and Hibernate.

Learn more about Anshul

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