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Build a streaming data mesh using Amazon Kinesis Data Streams

Big Data Blog



This article explores building a streaming data mesh using Amazon Kinesis Data Streams, a serverless streaming data service that enables real-time data processing and distribution across an organization.

  • A streaming data mesh decentralizes data management, allowing domain-specific ownership and self-service data infrastructure
  • Key benefits include scalability, real-time data flows, and simplified data synchronization across systems
  • Three main personas are involved: producers (data generators), consumers (data processors), and governance teams
  • Common access patterns include shared data access with replay, message filtering, and fan-out to subscribers
  • Kinesis Data Streams provides security through IAM, supports cross-account access, and offers flexible consumption models

The article demonstrates how Kinesis Data Streams can help organizations create a flexible, secure, and scalable streaming data architecture that breaks down traditional data silos.



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