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What are the different functions of kafka in pipelines - manjunath - 12-23-2022
Apache Kafka is a distributed streaming platform that is often used as the backbone for a data pipeline. It is used to build real-time data pipelines and streaming apps.
A data pipeline is a set of processes that move data from one place to another. The data can be moved between systems, or within a system. Kafka can be used as a central hub for moving data between systems, or as a way to move data within a system.
There are several ways in which Kafka can be used in a data pipeline:
- As a message broker: Kafka can be used to send messages between systems. For example, a system that generates data can send the data to Kafka, and other systems that need the data can consume it from Kafka.
- As a streaming platform: Kafka can be used to process streaming data in real-time. For example, a system that generates a stream of data can send the data to Kafka, and other systems can consume the data from Kafka and process it in real-time.
- As a buffer: Kafka can be used to buffer data between systems that operate at different speeds. For example, a system that generates data quickly can send the data to Kafka, and another system that processes the data more slowly can consume the data from Kafka at its own pace.
- As a repository: Kafka can be used to store data for a certain period of time. For example, a system that generates data can send the data to Kafka, and other systems can consume the data from Kafka and store it for further analysis or reporting.