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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