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Amazon Q data integration adds DataFrame support and in-prompt context-aware job creation

AWS Big Data

Amazon Q data integration , introduced in January 2024, allows you to use natural language to author extract, transform, load (ETL) jobs and operations in AWS Glue specific data abstraction DynamicFrame. In this post, we discuss how Amazon Q data integration transforms ETL workflow development.

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Oracle Wants to Be the Database for AI

David Menninger's Analyst Perspectives

Oracle recently hosted its annual Database Analyst Summit, sharing the vision and strategy for its data platform. While much of the event was under non-disclosure as product plans and launch schedules are finalized, it still served as a useful recap of the broad portfolio of data platform capabilities that Oracle has to offer.

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Data Integrity, the Basis for Reliable Insights

Sisense

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. What is data integrity?

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

AWS Big Data

Let’s briefly describe the capabilities of the AWS services we referred above: AWS Glue is a fully managed, serverless, and scalable extract, transform, and load (ETL) service that simplifies the process of discovering, preparing, and loading data for analytics. To incorporate this third-party data, AWS Data Exchange is the logical choice.

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Achieve data resilience using Amazon OpenSearch Service disaster recovery with snapshot and restore

AWS Big Data

OpenSearch Service seamlessly integrates with other AWS offerings, providing a robust solution for building scalable and resilient search and analytics applications in the cloud. In the event of data loss or system failure, these snapshots will be used to restore the domain to a specific point in time.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

The applications are hosted in dedicated AWS accounts and require a BI dashboard and reporting services based on Tableau. While real-time data is processed by other applications, this setup maintains high-performance analytics without the expense of continuous processing.

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Use AWS Glue to streamline SFTP data processing

AWS Big Data

In today’s data-driven world, seamless integration and transformation of data across diverse sources into actionable insights is paramount. You will load the event data from the SFTP site, join it to the venue data stored on Amazon S3, apply transformations, and store the data in Amazon S3.