Effective Use Of Java Data Objects In Developing Database Applications; Advantages And Disadvantages
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Effective Use of Java Data Objects in Developing Database Applications; Advantages and Disadvantages
Currently, the most common approach in developing database applications is to use an object-oriented language for the frontend module and a relational database for the backend datastore. The major disadvantage of this approach is the well-known impedance mismatch in which some form of mapping is required to connect the objects in the frontend and the relational tuples in the backend. Java Data Objects (JDO) technology is recently proposed Java API that eliminates the impedance mismatch. By using JDO API, the programmers deal strictly with objects. JDO hides the details of the backend datastore by providing the object-oriented view of the datastore. JDO automatically handles the mapping between the objects and the underlying data in the relational database, which is hidden from the programmer. This thesis investigates the effectiveness of JDO. Part of the analysis will develop a database application using JDO. Although JDO provides the benefits of object-orientation in design and implementation of the databases, it is not immune from problems and limitations. The thesis will also analyze the advantages and disadvantages of using JDO and discuss the areas requiring improvements in future releases.
Software Engineering for Agile Application Development
As the software industry continues to evolve, professionals are continually searching for practices that can assist with the various problems and challenges in information technology (IT). Agile development has become a popular method of research in recent years due to its focus on adapting to change. There are many factors that play into this process, so success is no guarantee. However, combining agile development with other software engineering practices could lead to a high rate of success in problems that arise during the maintenance and development of computing technologies. Software Engineering for Agile Application Development is a collection of innovative research on the methods and implementation of adaptation practices in software development that improve the quality and performance of IT products. The presented materials combine theories from current empirical research results as well as practical experiences from real projects that provide insights into incorporating agile qualities into the architecture of the software so that the product adapts to changes and is easy to maintain. While highlighting topics including continuous integration, configuration management, and business modeling, this book is ideally designed for software engineers, software developers, engineers, project managers, IT specialists, data scientists, computer science professionals, researchers, students, and academics.
Persistence Best Practices for Java Applications
Author: Otavio Santana
language: en
Publisher: Packt Publishing Ltd
Release Date: 2023-08-25
The definitive guide for designing and delivering reliable and high-performing persistence layers using Java in the cloud-native age Purchase of the print or Kindle book includes a free PDF eBook Key Features Uncover database patterns for designing readable and maintainable architectures and Java applications Master various techniques to overcome application and architecture persistence challenges Discover painless application modernization with change-data-capture powered by cloud-native technologies Book Description Having a solid software architecture breathes life into tech solutions. In the early stages of an application's development, critical decisions need to be made, such as whether to go for microservices, a monolithic architecture, the event-driven approach, or containerization. In Java contexts, frameworks and runtimes also need to be defi ned. But one aspect is often overlooked – the persistence layer – which plays a vital role similar to that of data stores in modern cloud-native solutions. To optimize applications and data stores, a holistic understanding of best practices, technologies, and existing approaches is crucial. This book presents well-established patterns and standards that can be used in Java solutions, with valuable insights into the pros and cons of trending technologies and frameworks used in cloud-native microservices, alongside good Java coding practices. As you progress, you'll confront the challenges of cloud adoption head-on, particularly those tied to the growing need for cost reduction through stack modernization. Within these pages, you'll discover application modernization strategies and learn how enterprise data integration patterns and event-driven architectures enable smooth modernization processes with low-to-zero impact on the existing legacy stack. What you will learn Gain insights into data integration in Java services and the inner workings of frameworks Apply data design patterns to create a more readable and maintainable design system Understand the impact of design patterns on program performance Explore the role of cloud-native technologies in modern application persistence Optimize database schema designs and leverage indexing strategies for improved performance Implement proven strategies to handle data storage, retrieval, and management efficiently Who this book is for If you're a developer, engineer, or software architect working in the field of software development, particularly with a focus on Java solutions, this book is for you.