Building Modern Streaming Data Analytics Architectures on AWS

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Published Feb 20, 2025

Many organizations trying to build streaming analytics architectures from their real-time data sources often struggle with finding the proven architectural patterns that customers have implemented. Learn how to quickly generate insights from real-time data sources by leveraging different AWS purpose-built data services and innovate for the future. We will also talk about best practices while building a low latency modern data streaming architectures on AWS.

Learning Objectives:
* Objective 1: Get an overview of how to load and analyze streaming data in a serverless environment to build custom streaming data applications for your needs.
* Objective 2: See how to scale, optimize and monitor distributed real-time systems for custom processing at low latency and with no operational overhead.
* Objective 3: Learn how to ingest streaming data into AWS destinations like your data lake, your data warehouse or search to develop real-time analytics applications.

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