JPA, PostgreSQL, Spring Boot & Hibernate Basics From Scracth

Spring Data JPA & PostgreSQL from scratch. Learn JPA & Spring Boot using Rest API project with all PostgreSQL details

What you'll learn
Spring Data JPA is a part of the larger Spring Data project, which aims to simplify data access and manipulation in Spring-based applications.
Spring Boot and Spring Data JPA are two powerful tools in the Spring Framework ecosystem that make it easier to develop robust & maintainable Java applications
Basic Relational Database Concepts
Normalization
PostgreSQL Basics
SQL Basics
Database Tools to Build Your Own Data Architecture
Privileges
Partitioning
Inheritance
Row Security Policies
Some Trip And Trick That Make the life easier for you when using postgresql
The Groupby and having clauses
How To Construct Your Own Relational Data Set
Network Address Types
Installing java jdk and most useful IDEs like eclipse and intellij.
Spring Basics
Lombok
Postman
Docker
DBeaver
Postgre Database
Spring Rest API
ORM
JPA
Hibernate
Spring JPA Annotations
Spring JPA Methods
Query methods and Finder methods
sorting and pagination
Relationships of Entities
Using JPA with different Databases.


Requirements
Basic Computer Usage Info and Internet Access
Familiarity With SQL or Programming Experience Will Be Good But Not Required
Having a working computer and internet connection
Basic knowledge of Java
Desire to learn Spring Data JPA, PostgreSQL in detail
Watching the course videos completely, to the end and in order.
Nothing else! It’s just you, your computer and your ambition to get started today
Description
Hi there,
Welcome to my "
JPA, PostgreSQL, Spring Boot & Hibernate Basics From Scracth
" course.
Spring Data JPA & PostgreSQL from scratch. Learn JPA & Spring Boot using Rest API project with all PostgreSQL details
Spring Data JPA is a part of the larger Spring Data project, which aims to simplify data access and manipulation in Spring-based applications. Specifically, Spring Data JPA provides a high-level, abstracted approach to working with relational databases using the Java Persistence API
In the world of software development, simplification is often the key to productivity and efficiency. Spring Boot and Spring Data JPA are two powerful tools in the Spring Framework ecosystem that make it easier to develop robust and maintainable Java applications, especially when it comes to working with databases.
Spring Boot: The Foundation of Modern Java Applications
Spring Boot is a part of the Spring Framework that is designed to simplify the process of building production-ready applications. It achieves this by providing a set of conventions and tools to eliminate the need for extensive configuration, boilerplate code, and a steep learning curve .
Spring Boot embraces the concept of "opinionated defaults" . It comes with predefined configurations for common scenarios, such as database connections, web servers, and templating engines . This allows developers to get started quickly without having to make countless decisions .
One of the standout features of Spring Boot is its auto-configuration. It automatically configures components based on the dependencies you include in your project. If you're using Spring Data JPA, Spring Boot will configure your data source, entity manager, and transaction management with sensible defaults.
Spring Boot includes support for embedded servers like Tomcat, Jetty, and Undertow . You don't need to deploy your application to an external server; Spring Boot packages the server with your application, making it easy to run and deploy.
Spring Data JPA
, a part of the Spring Data project, simplifies database access in Java applications, specifically when working with relational databases using the Java Persistence API (JPA) .
Postgresql is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. The origins of Postgresql date back to 1986 as part of the POSTGRES project at the University of California at Berkeley and has more than 30 years of active development on the core platform.
PostgreSQL, like other relational and object-oriented databases, let non-IT specialists query databases. PostgreSQL is open-source, fault-tolerant, and supports location-based services.
Known for reliability, scalability, and robustness, PostgreSQL is widely used by organizations of all sizes for
managing large and complex databases
. This makes it well-suited for high-performance and mission-critical applications such as data warehousing, analytics, geospatial applications, and web services.
PostrgeSQL comes with many features aimed to help developers build applications, administrators to protect data integrity and build fault-tolerant environments, and help you manage your data no matter how big or small the dataset. In addition to being free and open source, PostgreSQL is highly extensible. For example, you can define your own data types, build out custom functions, even write code from different programming languages without recompiling your database.
In JPA, PostgreSQL, Spring Boot & Hibernate Basics From Scracth course
you will Learn
;
Installing java jdk and most useful IDEs like eclipse and intellij.
Spring Basics
Lombok
Postman,
Docker
DBeaver
Spring Rest API
ORM,
JPA,
Hibernate
Spring JPA Annotations
Spring JPA Methods
Query methods and Finder methods
Sorting and pagination
Relationships of Entities
Using JPA with different Databases like PostgreSQL, MongoDB, MySQL, MSSQL
Basic Relational Database Concepts
Normalization
PostgreSQL Basics
Database Tools to Build Your Own Data Architecture
Privileges
Partitioning
Inheritance
Row Security Policies
Simple Structure Of PostgreSQL
How To Construct Your Own Relational Data Set
SQL Basics
Using SQL Objects Effectively
Details Of SQL Language.
Join Types
Subqueries
Combining Queries
The Groupby and having clauses
Grouping Sets Cube And Rollup.
Some Trip And Trick That Make the life easier for you when using postgresql
Let's examine the
benefits of Spring Data JPA
Repository Abstraction
Spring Data JPA introduces the concept of repositories. These are interfaces that define common database operations, such as saving, retrieving, and deleting entities. You can create custom repository interfaces to define your own data access methods, and Spring Data JPA generates the corresponding implementations.
Query Methods
One of the standout features of Spring Data JPA is the ability to define query methods by method naming conventions. It can derive queries from method names, which makes it easy to create custom queries without writing SQL or JPQL queries manually. For example, a method named findByLastName(String lastName) in a repository interface will automatically generate a query to retrieve entities by their last name .
Automatic CRUD Operations
Spring Data JPA provides automatic implementations for common CRUD operations. You can save, retrieve, update, and delete entities with minimal code, allowing you to focus on your application's business logic.
Pagination and Sorting
Implementing pagination and sorting for your queries is straightforward with Spring Data JPA. It abstracts the complexities of database-specific query syntax, making it easy to retrieve subsets of data.
Integration with Spring Framework
Spring Data JPA seamlessly integrates with the broader Spring ecosystem. It works well with Spring's dependency injection, transaction management, and security features, creating a cohesive development experience .
When you combine Spring Boot and Spring Data JPA, you get a powerful toolkit for building Java applications that interact with databases. Spring Boot provides a strong foundation for your application, with auto-configuration, embedded servers, and cloud-native support, while Spring Data JPA streamlines your data access, reducing the need for boilerplate code and manual SQL queries
So, this course will be a great chance for you to progress faster in the software world
We will start to our course with installing java jdk and most useful IDEs like eclipse and intellij. After that we will learn basic information about spring and Lombok to use in our training. Then we will examine some other tools or apps to use in our training like sts tool, Postman, Docker and postgre Database.
After that we will learn basics of spring API . Because this training is about JPA and I want to teach Data jpa on API pages.
Then we will start spring data JPA.
We will learn some programming concepts like ORM, JPA, Hibernate, Spring data jpa and we will examine differences between them.
After that we will start to JPA with rest API on postgre SQL. We will learn spring annotations that used in JPA like
Entity
Id
Table
Column
Generated vale
Unique constraint
Auto Identity, Sequence.
Also we will examine JPA repository and most useful methods od JPA repository like
Save
Find by
Save all
Find all
Delete
Delete by Id
Count and exist by Id.
We will continue with Query methods and Finder methods. After that we will continue with JPQL.
Then we will learn sorting and pagination, relationships between tables like
One to one
One to many
Many to one and many to many.
Also we will examine the search functionality, transaction management and unit testing.
We will make all operations with postgre SQL database. but also we will change our database with difference databases like mysql, mssql, mongo etc.
To summarize briefly, with this course you will learn how to perform spring data JPA operations with the Postgre database and using the PostgreSQL database with all its features. At the end of this course, you will have as much knowledge as a software developer who is an expert in JPA operations and a database administrator who is an expert in PostgreSQL operations.
I think these are enough reasons to start the course. If you're ready, let's get started.
What is Spring Boot and why it is used?
Java Spring Boot (Spring Boot) is a tool that makes developing web application and microservices with Spring Framework faster and easier through three core capabilities: Autoconfiguration. An opinionated approach to configuration. The ability to create standalone applications.
What is Spring Data JPA?
Spring Data JPA, part of the larger Spring Data family, makes it easy to easily implement JPA-based (Java Persistence API) repositories. It makes it easier to build Spring-powered applications that use data access technologies. Implementing a data access layer for an application can be quite cumbersome.
What is the use of JPA?
The Java Persistence API (JPA) is one possible approach to ORM. Via JPA the developer can map, store, update and retrieve data from relational databases to Java objects and vice versa. JPA can be used in Java-EE and Java-SE applications. JPA is a specification and several implementations are available.
What is the difference between spring data JPA and Hibernate?
What Is the Difference Between Hibernate and Spring Data JPA? Hibernate is a JPA implementation, while Spring Data JPA is a JPA Data Access Abstraction. Spring Data offers a solution to GenericDao custom implementations. It can also generate JPA queries on your behalf through method name conventions.
Why do we use spring JPA?
Spring Data JPA aims to significantly improve the implementation of data access layers by reducing the effort to the amount that's actually needed. As a developer you write your repository interfaces, including custom finder methods, and Spring will provide the implementation automatically.
What is difference between Spring and Hibernate?
Spring is useful for transaction management, aspect-oriented programming, and dependency injection. Hibernate provides Object-Relational Persistence and Query service for applications. Spring has a number of modules such as Spring core, Spring MVC, Spring Security, Spring JDBC & more.
What is PostgreSQL and why it is used?
It is a highly stable database management system, backed by more than 20 years of community development which has contributed to its high levels of resilience, integrity, and correctness. PostgreSQL is used as the primary data store or data warehouse for many web, mobile, geospatial, and analytics applications.
Why PostgreSQL is more popular?
PostgreSQL is chosen by companies because it offers data types that MySQL does not, as well as many other features that are not offered in MySQL. Generally, however, MySQL is typically recommended for web-based/online or mapping functions, whereas PostgreSQL is recommended for large analytical processes.
What is difference between SQL and PostgreSQL?
PostgreSQL supports Python, PHP, Perl, Tcl, Net, C, C++, Delphi, Java, JavaScript (Node. js), and more. SQL Server is more limited, offering support for Java, JavaScript (Node. js), C#, C++, PHP, Python, and Ruby.
What is PostgreSQL best for?
Known for reliability, scalability, and robustness, PostgreSQL is widely used by organizations of all sizes for managing large and complex databases. This makes it well-suited for high-performance and mission-critical applications such as data warehousing, analytics, geospatial applications, and web services.
Is PostgreSQL enough to get a job?
The high estimated earnings are one of its many perks. The biggest advantage is you can build a really good career by learning even just PostgreSQL. A little hard work and ambition can lead you to the top and enable you to develop steadily. And as a result, you build a better life!
Is PostgreSQL a programming language?
PostgreSQL (pronounced post-gress-Q-L) offers the full functionality of Structured Query Language (SQL) — a standard programming language for database management — and many other feature enhancements and extensions.
Why learn PostgreSQL?
It is great for large datasets. It's less prone to data corruption. It's still the most advanced open-source RDBMS in the world. And it's an excellent choice for those who are new to SQL.
Is PostgreSQL free?
A: PostgreSQL is released under the OSI-approved PostgreSQL Licence. There is no fee, even for use in commercial software products. Please see the PostgreSQL Licence.
Do companies use PostgreSQL?
Around the world in 2023, over 58509 companies have started using PostgreSQL as relational-databases tool. Companies using PostgreSQL for relational-databases are majorly from United States with 22627 customers. 33.26% of PostgreSQL customers are from the United States.
Why do people prefer PostgreSQL?
PostgreSQL has advanced features.
PostgreSQL supports a huge number of features, many of which aren't available on other database systems. Just some examples of these include: Indexes that support different collations, types, access methods, and operators.
Why would you want to take this course?
Our answer is simple: The quality of teaching.
When you enroll, you will feel the OAK Academy's seasoned instructors' expertise.
Fresh Content
It’s no secret how technology is advancing at a rapid rate and it’s crucial to stay on top of the latest knowledge. With this course, you will always have a chance to follow the latest data science trends.
Video and Audio Production Quality
All our content is created/produced as
high-quality video/audio
to provide you the best learning experience.
You will be,
Seeing clearly
Hearing clearly
Moving through the course without distractions
You'll also get:
Lifetime Access to The Course
Fast & Friendly Support in the Q&A section
Udemy Certificate of Completion Ready for Download
Dive in now into the

"
JPA, PostgreSQL, Spring Boot & Hibernate Basics From Scracth
" course.
Spring Data JPA & PostgreSQL from scratch. Learn JPA & Spring Boot using Rest API project with all PostgreSQL details
We offer
full support
, answering any questions.
See you in the course!
Who this course is for:
Users That Want to Learn Spring Data JPA and PostgreSQL database from scratch
Database Admins in other databases and transform their profession to postgres
From Beginner To Mediocre Postgres Database Admins That Want to deepening their skills
Software Developers That want to be aware of whats going on at the database level or which database object they can benefit
Users That Want to Learn Spring Data JPA operations on spring rest api.
Anyone who is looking to deepen their understanding of backend development and data management.
Anyone who wants to make database operations easier and faster.


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