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Demystify data sharing and collaboration patterns on AWS: Choosing the right tool for the job

AWS Big Data

AWS offers services like AWS Data Exchange , AWS Glue , AWS Clean Rooms and Amazon DataZone to help organizations unlock the full potential of their data. First of all, there are data producers, which might include internal teams/systems, third-party producers, and partners.

Sales 116
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Streamline AI-driven analytics with governance: Integrating Tableau with Amazon DataZone

AWS Big Data

Amazon DataZone is a data management service that makes it faster and easier for customers to catalog, discover, share, and govern data stored across AWS, on premises, and from third-party sources. You can analyze this data using a variety of tools, including built-in AWS options such as Amazon Athena , Amazon Redshift , and Amazon SageMaker.

Analytics 119
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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Externally, sharing real-time data with partners such as shipping lines, trucking companies, and customs agencies fosters better coordination, visibility, and faster decision-making across the logistics chain. From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog.

IoT 111
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Run Apache XTable in AWS Lambda for background conversion of open table formats

AWS Big Data

This post was co-written with Dipankar Mazumdar, Staff Data Engineering Advocate with AWS Partner OneHouse. This post is one of multiple posts about XTable on AWS. The project also plans to facilitate synchronization of table formats across multiple catalogs, such as AWS Glue, Hive, and Unity catalog.

Metadata 105
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From vision to value: A strategic approach to generative AI adoption

CIO Business Intelligence

To that end, Kristen Backeberg, Director of Global ISV Partner Marketing at AWS, and Val Henderson, President and CRO at Caylent, recently sat down to discuss maybe the most important consideration around adoption: How to tailor your generative AI strategy around clear goals that can drive your organization forward.

ROI 128
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Best practices for upgrading Amazon MWAA environments

AWS Big Data

As a scalable solution for managing complex data pipelines, Amazon MWAA enables seamless orchestration across AWS services and on-premises systems. Although AWS manages the underlying infrastructure, you must carefully plan and execute your Amazon MWAA environment updates according to the shared responsibility model.

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Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more

AWS Big Data

Collaborating closely with our partners, we have tested and validated Amazon DataZone authentication via the Athena JDBC connection, providing an intuitive and secure connection experience for users. If you don’t have one, see How do I create and activate a new AWS account? OutputLocation : Amazon S3 path for storing query results.