CF

Spring Data JPA Master Class

4h 21m 40s
English
Paid

Spring Data JPA Master Class is a 61-lesson 4 hours 21 minutes self-paced course by Nelson Djalo (Amigoscode). In this course you learn everything there is to learn about Spring Data JPA allowing to build scalable backend applications backed by any relational database.

Course facts

Lessons
61
Duration
4 hours 21 minutes
Level
All levels
Language
English
Updated
Instructor
Nelson Djalo (Amigoscode)
Price
Premium

In this course you learn everything there is to learn about Spring Data JPA allowing to build scalable backend applications backed by any relational database. Spring Data JPA is a great choice allowing to speed your development and focus on the business logic.

Who teaches Spring Data JPA Master Class? Nelson Djalo (Amigoscode)

Nelson Djalo (Amigoscode) thumbnail

Nelson Djalo publishes the Amigoscode YouTube channel and standalone course platform — one of the largest independent Java / Spring Boot tutorial sources online, with several million subscribers and a multi-year track record of weekly back-end engineering tutorials.

The course catalog covers the full Java back-end stack: Java fundamentals, Spring Boot for production web services, Spring Security and OAuth, Spring Data and JPA, microservices patterns with Spring Cloud, Kafka and event-driven architecture, Docker and Kubernetes for the deployment layer, AWS for cloud infrastructure, and the database side (PostgreSQL, MongoDB, Redis). Material is project-oriented — most courses build a working microservice or full application end-to-end.

The CourseFlix listing under this source carries over 13 Amigoscode courses spanning that range. Material is paid; Amigoscode runs on per-course or membership pricing on the original platform. Courses are aimed at Java developers building production back-end services.

What lessons are included in Spring Data JPA Master Class?

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#1: Course Overview
All Course Lessons (61)
#Lesson TitleDurationAccess
1
Course Overview Demo
01:25
2
Postgres Database Server
01:53
3
PSQL
03:53
4
IntelliJ
01:57
5
Cloning Repo
03:01
6
Running the application
05:42
7
Connecting to Database via IntelliJ
05:56
8
Section Overview
02:02
9
Student Class
03:12
10
Connecting to Database
05:47
11
Map Classes to Tables using @Entity
05:57
12
Sequence Generator and Value
03:51
13
@Column
05:51
14
Adding Datasource and No Arg Constructor
01:53
15
@Table and Constraints
04:17
16
Understanding Repositories
04:51
17
StudentRepository
07:48
18
Exploring Repository Methods
05:49
19
Exploring Repository Methods p2
02:46
20
Query Methods
04:33
21
Query Methods P2
05:43
22
JPQL Query Methods
01:58
23
@Query
07:01
24
Native Queries
05:47
25
Named Parameters
02:03
26
@Modifying
05:59
27
Installing Faker
02:27
28
Saving Random Students using Faker
05:06
29
Sort
06:45
30
Paging and Sorting
05:16
31
Inspect Paging and Sorting in Debug mode
03:52
32
Intro
01:29
33
Student Id Card Entity
05:12
34
@OneToOne and @JoinColoum
03:18
35
Student Id Card Repository
03:58
36
Saving Student Id Card
04:24
37
Cascade Type
02:53
38
Hibernate Entity Lifecycle
08:00
39
Fetch Type
04:38
40
Uni Vs BiDirectional on 1 to 1 Relationships
05:04
41
Orphan Removal
05:48
42
@ForeingKey
03:04
43
Exercise
02:01
44
Exercise Solution
02:54
45
Many to To Bidirectional
05:30
46
Testing Many to To Bidirectional
06:26
47
Understanding Eager fetch type for One To Many
07:05
48
Save Student Instead of Id Card
03:19
49
Course Entity
04:07
50
@Many to Many and @JoinColumn
04:09
51
@Many To Many mappedBy
01:27
52
Methods to add and remove course
02:25
53
Many to Many relationships in Action
06:19
54
@Embeddable
03:21
55
@EmbeddedId and @MapsId
04:56
56
Link Entities to Bridge Table
04:17
57
Testing changes
05:38
58
Adding Extra Column to Link Table
04:46
59
@ForeingKey
02:14
60
Database Transaction
02:33
61
Working with Transactions
06:04
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Frequently asked questions

What are the prerequisites for this course?
Prospective students should have a basic understanding of Java programming and relational databases. Familiarity with tools like IntelliJ and PSQL is beneficial, as the course involves connecting to databases and using these tools to manage and query data.
What projects or applications will be built during the course?
Throughout the course, students will work on building scalable backend applications using Spring Data JPA. Key projects include creating and managing a student database with entities like Student and Student ID Card, and working with relational database structures such as many-to-many relationships and link tables.
Who is the target audience for this course?
The course is designed for software developers and engineers interested in building backend applications with Spring Data JPA. It is suitable for those who want to deepen their understanding of database interaction and management within the Spring framework.
How does the depth of this course compare to others on Spring Data JPA?
This course covers extensive aspects of Spring Data JPA, including entity mapping, repository methods, JPQL, and native queries. It also delves into complex topics like entity lifecycle, fetch types, and database transactions, making it a robust choice for learning the intricacies of Spring Data JPA.
What specific tools or platforms will be used in the course?
The course utilizes IntelliJ for development and PSQL for database management. Students will also work with Postgres Database Server, leveraging its capabilities to explore database connectivity and data manipulation using Spring Data JPA.
What topics are not covered in this course?
The course focuses exclusively on Spring Data JPA and does not cover other Spring modules like Spring Boot or Spring Security. Additionally, it does not delve into non-relational databases or frontend development technologies.
How much time should I expect to commit to this course?
While the total runtime of the video lessons is not specified, the course consists of 61 lessons. Students should allocate additional time for practical exercises, reviewing materials, and experimenting with code, which can significantly enhance learning outcomes.