Analytics Deep Dive: Data Streaming, Querying and Sharing with AWS

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Published Feb 20, 2025

In this hands-on workshop, you'll learn how to build robust analytics applications and architectures using AWS services. Harness the power of federated querying into various data sources enabling you to share data consistently within organizations, build streaming ingestion and pipeline mechanisms for real time analytics and create, train, and build machine learning models right within your analytics architecture for predictive insights out of all your data.

Learning Objectives:
* Objective 1: See how to analyze all your data in place, without moving or copying the data with Amazon Redshift and Amazon Athena.
* Objective 2: Understand how the Amazon Redshift integration with AWS Data Exchange and Amazon SageMaker brings together predictive insights through SQL based machine learning models, working on shared data.
* Objective 3: Learn how to maximize the value of streaming data to unlock new insights with Amazon streaming data services.

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