In the realm of software development and data management, the efficiency of data retrieval plays a crucial role in the overall performance of an application. One effective way to enhance this efficiency is by implementing a cache. A cache is a high-speed data storage layer that stores a subset of data, typically transient in nature so that future requests for that data are served up faster than is possible by accessing the data’s primary storage location.
This blog post explores how to enhance these aspects by implementing a low-latency cache using Dozer and PostgreSQL. We delve into the importance of caching in data management, the limitations of not having a cache, and the unique advantages of using Dozer as a cache layer. We also provide a guide on how to use Dozer for real-time data ingestion from PostgreSQL. This post is a must-read for developers seeking to improve their application's performance and responsiveness, and for those looking to simplify their data infrastructure.