Break Down Data Silos and Analyze Across All Your Data with Amazon Redshift Data Sharing

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Published Feb 20, 2025

Data that you need for insights is not just growing in volume, but also getting more diverse (log data, click stream, voice, video). It often sits in various data silos, even third party organizations. Users across departments, organizations and regions expect to work on transactionally consistent data; however the process of transforming the data across these silos is fraught with issues like data duplication and loss, inconsistencies, inaccuracies, delay as data moves and network bottlenecks. Amazon Redshift provides deep integration into the AWS data ecosystem, across data lakes and purpose built data stores, and delivers on data sharing capabilities. Learn how to cut down your time to insights to minutes, instead of weeks and months, with Amazon Redshift data sharing capabilities, how it works, and use cases we are seeing among our customers.

Learning Objectives:
* Objective 1: Learn about Redshift's data sharing capabilities and become an expert in data sharing use cases, how to share and access live data in a secure way without data movement or data copying.
* Objective 2: Get an understanding of how Amazon Redshift helps you break through data silos and enable data sharing across regions and accounts.
* Objective 3: Learn how the Amazon Redshift integration with AWS Data Exchange works and how you can find, subscribe to, and combine your first party data with third party data for application development, business dashboarding, and predictive analytics.

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