Metadata Mapping Design Pattern is designed to manage the mapping between database records and Java objects in a way that keeps the database schema and object model decoupled and manageable.
The Optimistic Offline Lock pattern in Java is specifically designed to manage concurrent data modifications without the need for long-duration database locks, thus enhancing system performance and scalability.
The Repository design pattern acts as a central hub for managing all Java data access logic, abstracting the details of data storage and retrieval from the rest of the application.
The Serialized Entity pattern in Java allows for the object serialization to simplify data transfer and storage. It enables easy conversion of Java objects to and from a serialized format, allowing them to be efficiently stored and transferred.
Efficiently manage and store large data objects, such as multimedia files and extensive text strings, using the Serialized LOB pattern in Java, a strategy for robust database optimization.
Sharding, a pivotal Java design pattern, significantly boosts database scalability and performance through horizontal partitioning.
Single Table Inheritance pattern simplifies database schema in Java applications.
Streamline the storage of an inheritance hierarchy in a single database table, where rows represent objects of different classes and columns represent the union of all attributes.
The Table Module pattern expertly encapsulates database table data access logic in a single, efficient module, ideal for Java applications.
The Transaction Script pattern in Java organizes business logic by procedures where each procedure handles a single request from the presentation.
Learn how the Java Unit of Work pattern expertly manages and maintains a list of objects impacted by business transactions, coordinating database changes and solving concurrency issues effectively.
