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prerequisites
basic Maven • the ability to use a Java ORM library • basic PostgreSQL
skills learned
use Quarkus extensions to work with Hibernate ORM with Panache • discover the active record data access pattern promoted by Quarkus • develop Create-Read-Update-Delete operations
Daniel Petisme
1 week · 5-6 hours per week · INTERMEDIATE
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Look inside

In this liveProject, you’ll use the Quarkus ecosystem to provide a data persistence layer to the Catalog API of a video streaming service. As a software engineer for the Chill+ streaming site, you’ll be using the Quarkus “Hibernate with Panache” extension, which is an opinionated usage of the famous Hibernate ORM data persistence framework. To speed up the dev and test stages, you’ll use the Quarkus DevServices feature, which spins up a database container and configures the application for you.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Daniel Petisme

Daniel Petisme has an engineering degree in IT, and he’s been mixing technical expertise and innovation at Michelin for the past ten years. He joined Confluent in March 2021 as a customer success architect providing support and guidance about Kafka-related technologies. He’s a strong believer in open source, and he channels his passion for learning and sharing knowledge by teaching several software-related courses to IT engineers, and co-organizing local technical events. He’s a part of the JHipster and Vert.x core team and actively contributes to Kafka and Quarkus.

prerequisites

This liveProject is for software engineers with experience building Java applications and with basic knowledge of database access. To begin this liveProject you will need to be familiar with the following:


TOOLS
  • Intermediate Java
  • Basic Maven
  • Intermediate knowledge of a Java framework (Spring, Spring Boot, Java EE)
  • Basic Java Object-Relational Mapping libraries
  • Basic PostgreSQL
TECHNIQUES
  • Java tests using frameworks like JUnit and Mockito
  • Basic SQL queries

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