AWS Partner Network (APN) Blog

Category: AWS Data Exchange

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Accelerate Clinical Research with Real-World Data Using AWS Data Exchange for Amazon Redshift 

Verana Health leverages an exclusive real-world data network and AI-enhanced data engine to transform healthcare data into curated, disease-specific data modules called Qdata. This powers Verana’s analytics solutions for real-world evidence generation, clinical trials, quality reporting, and registry data management to enhance patient care and quality of life. Through AWS Data Exchange and Amazon Redshift, Verana offers life sciences customers easy, convenient access to high-quality clinical real-world data for research.

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​​Harnessing Location Intelligence with AWS Data Exchange and Foursquare

Location data is a powerful tool that provides real-time information and predictive analytics. By leveraging location intelligence, companies can make better decisions related to store design, staffing, capital investments, new product development, site selection, and more. Learn how AWS and Foursquare are helping businesses usher in a new era of location intelligence, supplying companies with easy-to-work-with, high quality data through the AWS Data Exchange.

Subscribe and Ingest AWS Data Exchange Data into Databricks and Visualize it with Amazon QuickSight

Modern enterprise customers use AWS Marketplace datasets along with their business and operational data to create meaningful and deeper insights to improve their customer experience. Learn how to consume datasets from AWS Data Exchange to transform and store data in Databricks Lakehouse Platform using Delta Live Tables (DLT) and visualize it in Amazon QuickSight. DLT is a framework for building reliable, maintainable, and testable data processing pipelines.

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Accelerate Data Exchange and Collaborative Analytics Within Your Enterprise Using Amazon Redshift

A new, data-as-a-product paradigm helps make data more consumable while promoting domain-oriented decentralization of ownership. Learn how Accenture helps enterprises implement decentralized domain-driven architectures and deliver data products by leveraging AWS. In particular, we’ll review how new features in Amazon Redshift, such as data sharing and integration with AWS Data Exchange, can help accelerate time-to-market delivery of data products to increase business value.

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890 by Capgemini with AWS: Powering Business Decisions Through an Intelligent Data and Analytics Engine

A data-powered culture means overcoming difficult challenges such as using analytics solutions to reduce the complexity of stand-alone data. The 890 by Capgemini solution is a plug-and-play AI and analytics product hosted on AWS. As an activator of data analytics, it informs you so that you can speed up decision-making, flex and grow at scale, increase efficiency, automate processes, and make products and services that will truly connect with your customers.

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Integrating and Analyzing ESG Data on AWS Using CSRHub and Amazon QuickSight

Environmental, social, and governance (ESG) factors are increasingly important for financial institutions as they look to assess portfolio risk, meet investment mandates, align with customer values, and report on the sustainability of their portfolios. Working closely with CSRHub, a data provider on AWS Data Exchange, learn how AWS has produced a demonstration to illustrate how customers can analyze company-level ESG scoring data with Amazon QuickSight.

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Analyzing COVID-19 Data with AWS Data Exchange, Amazon Redshift, and Tableau 

To help everyone visualize COVID-19 data confidently and responsibly, we brought together APN Partners Salesforce, Tableau, and MuleSoft to create a centralized repository of trusted data from open source COVID-19 data providers. Anyone can work with the public data, blend it with their own data, or subscribe to the source datasets directly through AWS Data Exchange, and then use Amazon Redshift together with Tableau to better understand the impact on their organization.