Interactive and Federated Querying using Amazon Athena and Redshift - AWS Analytics in 15

As a developer or analyst, you are dealing with tons of data in various data sources whether it sits in your data lake, operational databases, on premise and other cloud systems and third party applications. Harnessing value out of this data within your analytics system is getting more and more challenging, taking time away from your daily work. Learn how Amazon Redshift and Amazon Athena can help you overcome these challenges with federated querying right into these disparate data sources, without moving or copying data and generating high performance analytics and insights.

Learning Objectives:
* Objective 1: Learn why federated querying is important and how Amazon Redshift and Amazon Athena helps you access data in place and analyze all your data.
* Objective 2: See how to analyze all your data in place, without moving or copying the data with Amazon Redshift and Amazon Athena.
* Objective 3: Dive into Amazon Athena's and Amazon Redshift's capabilities to query across data sources.

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/big-data/datalakes-and-analytics/
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