A Deep Dive into Data Addressing in Storage Systems: From HashMap to HDFS, Kafka, Milvus, and Iceberg

What this post added

This post expands on the AI Data Storage Engine by providing a deep dive into the fundamental principles of data addressing in storage systems. It explains how Milvus, like other systems such as HashMap, HDFS, and Kafka, optimizes data location through computation, caching, and pruning to reduce latency. This provides a foundational understanding of the underlying mechanisms that enable efficient data retrieval in vector databases.