Streaming Data Pipeline Architecture
Join the DZone community and get the full member experience.
Join For Free
Streaming data pipelines have become an essential component in modern data-driven organizations. These pipelines enable real-time data ingestion, processing, transformation, and analysis. In this article, we will delve into the architecture and essential details of building a streaming data pipeline.
Data Ingestion
Data ingestion is the first stage of streaming a data pipeline. It involves capturing data from various sources such as Kafka, MQTT, log files, or APIs. Common techniques for data ingestion include:
- Message queuing system: Here, a message broker like Apache Kafka is used to collect and buffer data from multiple sources.