Data Access Patterns

Data access patterns refer to the ways applications retrieve or store data in a system. They define the typical behaviors and sequences, such as reading data once, updating regularly, or querying large datasets repeatedly. Understanding these patterns helps optimize system performance, ensuring data is available quickly and efficiently. Common patterns include fetching data in bulk, accessing specific records, or streaming data continuously. Recognizing these behaviors allows designers to choose appropriate storage methods, indexes, and caching strategies, making data operations faster, more reliable, and better suited to the application's needs.