Join us for an immersive presentation that dives into the cutting-edge features of Jakarta Data. This innovative framework revolutionizes data access across diverse database types, including relational and NoSQL. Through live coding demonstrations, this session will provide a comprehensive exploration of Jakarta Data's repository and pagination features and insights into creating components for seamless integration.

During the presentation, we will showcase the repository feature of Jakarta Data, which simplifies data access by providing a unified API across different database systems. You will learn how to leverage the repository pattern to perform common CRUD (Create, Read, Update, Delete) operations effortlessly, regardless of whether you're working with a relational database like MySQL or a NoSQL database like MongoDB or Eclipse Store.

Additionally, we will delve into the pagination feature of Jakarta Data, which enables efficient retrieval and navigation of large datasets. Discover how to implement pagination in your applications to optimize performance and enhance the user experience when working with factual data.

Furthermore, this presentation will guide you through creating components for Jakarta Data, allowing you to extend its functionality and tailor it to your specific project requirements. You will gain valuable insights into customizing and integrating Jakarta Data into your existing applications, harnessing its full potential for seamless data access.

Whether you're a seasoned developer or just starting your journey with Jakarta Data, this presentation will equip you with practical knowledge and real-world examples to leverage its powerful API-driven approach for simplified data access. Join us as we explore Jakarta Data's repository and pagination features, and demonstrate how to create components that unlock their full potential. Unleash the power of Jakarta Data and elevate your data access capabilities to new heights.

Jakarta Tech Talk - Unleashing the Power of Jakarta Data: Exploring API-driven Data Access for Relational and NoSQL Databases