Spring Data JPA Fundamentals (with Hibernate)

Spring Data JPA Fundamentals (with Hibernate), available at $74.99, has an average rating of 4.86, with 69 lectures, based on 97 reviews, and has 851 subscribers.

You will learn about The essentials of Repositories, Derived Queries, Sorting, Paging, Modifying, Projections, Transaction Management, and Concurrency Understand Entity Relationships, Inheritance Mapping, Polymorphic Queries and Repository Inheritance Understand how to handle concurrent transactions using Optimistic Locking and Pessimistic Locking How to manage and propagate transactions efficiently Essentials of Database Isolation Rules Some of the Best Practices and Performance Optimisations JPA Essentials of Entity State Transitions, 1st Level Caching, Automatic Dirty Checking, Persistence Context and Flushing This course is ideal for individuals who are Spring/Java/JPA/Hibernate programmers who want to learn how to use Spring Data JPA with Hibernate in their Spring Boot projects or Professionals working on Java/JavaEE/Spring technologies It is particularly useful for Spring/Java/JPA/Hibernate programmers who want to learn how to use Spring Data JPA with Hibernate in their Spring Boot projects or Professionals working on Java/JavaEE/Spring technologies.

Enroll now: Spring Data JPA Fundamentals (with Hibernate)

Summary

Title: Spring Data JPA Fundamentals (with Hibernate)

Price: $74.99

Average Rating: 4.86

Number of Lectures: 69

Number of Published Lectures: 69

Number of Curriculum Items: 69

Number of Published Curriculum Objects: 69

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

The essentials of Repositories, Derived Queries, Sorting, Paging, Modifying, Projections, Transaction Management, and Concurrency
Understand Entity Relationships, Inheritance Mapping, Polymorphic Queries and Repository Inheritance
Understand how to handle concurrent transactions using Optimistic Locking and Pessimistic Locking
How to manage and propagate transactions efficiently
Essentials of Database Isolation Rules
Some of the Best Practices and Performance Optimisations
JPA Essentials of Entity State Transitions, 1st Level Caching, Automatic Dirty Checking, Persistence Context and Flushing

Who Should Attend

Spring/Java/JPA/Hibernate programmers who want to learn how to use Spring Data JPA with Hibernate in their Spring Boot projects
Professionals working on Java/JavaEE/Spring technologies

Target Audiences

Spring/Java/JPA/Hibernate programmers who want to learn how to use Spring Data JPA with Hibernate in their Spring Boot projects
Professionals working on Java/JavaEE/Spring technologies

If you’re a Spring/Java programmer who wants to learn the fundamentals and some of the advanced topics of Spring Data JPA with Hibernate, then you’re the one this course is designed for.

It uses Hibernate as the JPA provider for this course, which is also the default JPA provider of Spring Data JPA. You’ll be learning the fundamentals and some of the advanced Spring Data JPA features covering Repositories, Derived Queries, Paging & Sorting, Query-By-Example (QBE), Auditing, Transactions & Concurrency, Modifying Queries, Projections, Mapping Associationsand Mapping Inheritance.

It’ll be discussing some of the Best Practices and Performance Optimizations as well.

Spring Data JPA provides an abstraction layer built on top of the JPA API specification, so JPA is important for this course, but even if you have just some basic experiences with JPA/Hibernate, you should not find it difficult to complete this course successfully, as it also covers the most essential topics of JPA at the end of the course in Appendix A.

The course also discusses the SQL at runtime every step of the way, and the performance implications of it. There will also be Lab-Exercises and Quizzes throughout the course, to challenge you, and also to help you revise the concepts learnt in the previous sessions.

MySQL and H2 in-memory database are the two RDBMS that the used in the course.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: CRUD with Spring Data JPA

Lecture 1: Introducing Spring Data JPA

Lecture 2: Persisting An Entity

Lecture 3: save()

Lecture 4: Updating An Entity

Lecture 5: Lab Exercise – Updating An Entity

Lecture 6: Finding An Entity

Lecture 7: Deleting An Entity

Lecture 8: Testing CRUD

Lecture 9: Spring Data Commons

Lecture 10: Lab Exercise – Spring Data Commons

Chapter 3: Derived Queries, Paging and Sorting

Lecture 1: Derived Queries Overview

Lecture 2: Lab Exercise – Derived Queries Overview

Lecture 3: Basic Derived Queries

Lecture 4: Lab Exercise – Basic Derived Queries

Lecture 5: Paging and Sorting

Lecture 6: Lab Exercise – Paging and Sorting

Chapter 4: Query By Example (QBE) and Auditing

Lecture 1: Query By Example (QBE)

Lecture 2: Lab Exercise – Query By Example (QBE)

Lecture 3: Auditing

Chapter 5: Transactions and Concurrency

Lecture 1: @Transactional Overview

Lecture 2: Delaying Connection Acquisition

Lecture 3: READ_WRITE vs READ_ONLY Transactions

Lecture 4: Transaction Propagation Rules

Lecture 5: Lab Exercise – Transaction Propagation Rules

Lecture 6: Optimistic Locking (Versioning)

Lecture 7: Pessimistic Locking

Lecture 8: Isolation Rules

Chapter 6: Modifying Queries, Projections & Calling Stored Procedures

Lecture 1: @Modifying

Lecture 2: Lab Exercise – @Modifying

Lecture 3: @Version with @Modifying

Lecture 4: Projections

Lecture 5: Lab Exercise – Projections

Lecture 6: Calling Stored Procedures using EntityManager (optional)

Lecture 7: Lab Exercise – Calling Stored Procedures using EntityManager (optional)

Lecture 8: Calling Stored Procedures using Repository

Chapter 7: Mapping Associations and Entity Graphs

Lecture 1: @ManyToOne

Lecture 2: Lab Exercise – @ManyToOne

Lecture 3: @OneToMany

Lecture 4: Lab Exercise – @OneToMany

Lecture 5: Entity Graph

Lecture 6: Entity Sub-graph

Lecture 7: EntityGraphType.LOAD vs EntityGraphType.FETCH

Lecture 8: Lab Exercise – EntityGraphType.LOAD vs EntityGraphType.FETCH

Lecture 9: @OneToOne

Lecture 10: Lab Exercise – @OneToOne

Lecture 11: @ManyToMany

Lecture 12: Lab Exercise – @ManyToMany

Chapter 8: Mapping Inheritance and Repository Inheritance

Lecture 1: @Inheritance

Lecture 2: Lab Exercise – @Inheritance

Lecture 3: @MappedSuperclass

Lecture 4: Repository Inheritance

Lecture 5: Lab Exercise – Repository Inheritance

Chapter 9: Wrap Up

Lecture 1: Wrap Up

Chapter 10: Appendix A: Entity State Transitions, Persistence Context, Flushing and more

Lecture 1: Introduction

Lecture 2: Entity Instance States

Lecture 3: Installing MySQL

Lecture 4: Pre-INSERT Id Generation

Lecture 5: Lab Exercise – Pre-INSERT Identifier Generation

Lecture 6: Automatic Dirty Checking

Lecture 7: First Level Caching

Lecture 8: Getting A Reference – Proxy

Lecture 9: Making Data Transient

Lecture 10: Flushing

Lecture 11: Lab Exercise – Flushing

Lecture 12: Identity of Detached Objects

Lecture 13: equals() and hashCode()

Lecture 14: Lab Exercise – equals() and hashCode()

Lecture 15: detach() and merge()

Instructors

Deshraj Singh Kiran
Trainer and Consultant at MavenEdge

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 3 votes
4 stars: 26 votes
5 stars: 69 votes

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