Broadcast Date: August 15, 2022

Level: 200

Evolve batch analytics in Amazon Redshift with real-time data streams. Customers today are looking to augment their data warehouse, and perform downstream processing and transformations of streaming data in real time using existing and familiar tools, with little to no cost impact. Amazon Redshift launched streaming ingestion support, enabling customers to achieve low latency while ingesting hundreds of megabytes of streaming data per second into their data warehouse. In this session we'll look at how customers can enable real-time analytics on their Amazon Redshift data warehouse.

Learning Objectives

  • Learn how Amazon Redshift enables ingestion of streaming data for real time analytics within the warehouse.
  • Achieve low latency on real time analytics while ingesting streams of data per second into your data warehouse.
  • Enable real-time analytics in your Amazon Redshift data warehouse without the need to stage data in Amazon S3.

Who Should Attend?

Developers, analysts, data scientists, data engineers, IT

Speakers

  • Ripunjaya Pattnaik, Solutions Architect, AWS
  • Uday Narayanan, Solutions Architect, AWS


Learn More

To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/redshift/

Intro body copy here about 2018 re:Invent launches.

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