Broadcast Date: May 23, 2023
Level: 300
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. In 15 minutes, learn best practices for building serverless streaming architectures to ingest and process billions of events per day at low latency. We will highlight a number of exciting features – including On-Demand Mode that automatically scales stream capacity based on your throughput traffic, Enhanced Fanout to build low latency consumer applications, and no-code serverless ETL to transform and partition data for your data lake and analytics use-cases.
Learning Objectives
- Learn about exciting features such as On-Demand Mode, Enhanced Fanout, and No-Code Serverless ETL
- See how to build serverless streaming data processing pipelines using Amazon Kinesis streaming services
- Understand the different services and when to use them, including Amazon Kinesis Data Streams, Amazon Kinesis Data Firehose and Amazon Kinesis Data Analytics
Who Should Attend?
Data Analysts, Data Engineers, Software Engineers, Architects, People looking to learn more about Streaming at AWS
Speaker(s)
Nihar Sheth, Sr. Product Manager, Kinesis, Amazon Web Services; Pratik Patel, Enterprise Support Lead, Amazon Web Services
Learn More
To learn more about the services featured in this talk, please visit:
aws.amazon.com/kinesis
Intro body copy here about 2018 re:Invent launches.
Download the slide deck
Compute
Service How To
December 19th, 2018 | 1:00 PM PT
Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.
Data Lakes & Analytics
Webinar 1:
What's New / Cloud Innovation
December 10th, 2018 | 11:00 AM PT
EMBARGOED
Register Now>