Modern data architecture is about using the right tool for the job. It acknowledges that a “one size fits all” approach leads to compromise, and a solution that is not optimized for anyone. With modern data architecture, customers can integrate a data lake, data warehouses, and purpose-built data services, with a unified governance layer, to create a system without boundaries that enables data-driven decisions.
When building a modern data architecture, sometimes there is a need for data to flow with low latency between components to power real-time decisions. This whitepaper helps cloud architects, data scientists, and developers to design and building modern data streaming architectures that can quickly generate insights using Amazon Web Services (AWS) streaming services such Amazon Kinesis Data Streams, Amazon Data Firehose, Amazon Managed Service for Apache Flink, and Amazon Managed Streaming for Apache Kafka (Amazon MSK).
