Broadcast Date: August 20, 2020

Level: 200

In today’s fast-paced world, organizations need to make data-driven decisions now, not tomorrow, not next week. But building a streaming data pipeline for near real-time analytics is complex, hard to manage, tricky to scale, and expensive to maintain. In this tech talk, we walk you through the best practices to create a low-latency, highly scalable, performant, and cost-effective data pipeline using Amazon Kinesis Data Streams. We cover how to scale your data stream with one click, increase consumption throughput with sub-second latency, and how easy it is to integrate with AWS services like S3, Redshift, and Elasticsearch Service.

Learning Objectives

  • Learn about common problems that streaming data pipelines can solve
  • See how easy it is to build a low-latency streaming data pipeline
  • Learn best practices to increase data stream throughput

Who Should Attend?

Developers, Data Architects, Data Admins


  • Sai Maddali, Sr. Product Manager, AWS

Learn More

To learn more about the services featured in this talk, please visit:

Intro body copy here about 2018 re:Invent launches.

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