Skip to content
Discussion options

You must be logged in to vote

Real-Time Data Capture and Processing Architecture

A real-time data capture and processing system typically involves the following components:

  1. Data Ingestion
    Use a scalable data ingestion service such as Apache Kafka or AWS Kinesis.
    These services should support standard IoT protocols like MQTT or CoAP for seamless integration with IoT devices.

  2. Real-Time Processing
    Process the ingested data using real-time processing engines such as Apache Flink or Spark Streaming.
    These engines allow you to perform analytics, transformations, and aggregations on the data as it arrives.

  3. Data Storage
    Store processed data in a scalable data lake, ideally one that supports time-series data.
    Examples i…

Replies: 1 comment

Comment options

You must be logged in to vote
0 replies
Answer selected by BugNoJutsu
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Category
Q&A
Labels
None yet
2 participants