Summary

In this chapter, we looked at how businesses benefit by leveraging real-time data for analytics. We introduced Amazon Kinesis Streams, Amazon Data Firehose, and Kinesis Data Analytics as the streaming services we would use in modern data architecture and how customers leverage these services in their data platform. We also looked at Apache Kafka as an open source framework for supporting streaming use cases and how Amazon MSK provides a scalable, secure, easy-to-manage, and cost-effective platform for using Kafka as the data streaming engine. We also looked at some other use cases that leverage a combination of streaming services put together to create a seamless data pipeline using purpose-built AWS services. Streaming use cases always come up in everything we do, so look out for some more design patterns later in this book. Enjoy doing the hands-on workshops in the next chapter!