Analytics in 15: Serverless Data Streaming Workloads with Amazon Kinesis

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Published Feb 20, 2025

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:
* Objective 1: Learn about exciting features such as On-Demand Mode, Enhanced Fanout, and No-Code Serverless ETL
* Objective 2: See how to build serverless streaming data processing pipelines using Amazon Kinesis streaming services
* Objective 3: Understand the different services and when to use them, including Amazon Kinesis Data Streams, Amazon Kinesis Data Firehose and Amazon Kinesis Data Analytics

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