Lesson
A schema registry is a centralized service that manages schemas for data exchanged between systems in a distributed architecture, and it is often used in conjunction with Apache Kafka. The primary purpose of a schema registry is to enforce a shared schema for the data that flows through a messaging system, ensuring consistency and compatibility between producers and consumers of data. Apache Kafka connectors are components that allow you to integrate Kafka with other systems, enabling the seamless transfer of data between Kafka and various data sources or sinks. There are two main types of Kafka connectors: source connectors and sink connectors. Kafka Connect is a framework for scalably and reliably streaming data between Apache Kafka and other systems. It makes it simple to quickly define connectors that move large data collections into and out of Kafka. Kafka Connect can ingest entire databases or collect metrics from all your application servers into Kafka topics, making the data available for stream processing with low latency. An export job can deliver data from Kafka topics into secondary storage and query systems or into batch systems for offline analysis.