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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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Simplify data integration with AWS Glue and zero-ETL to Amazon SageMaker Lakehouse

AWS Big Data

With the growing emphasis on data, organizations are constantly seeking more efficient and agile ways to integrate their data, especially from a wide variety of applications. We take care of the ETL for you by automating the creation and management of data replication. Glue ETL offers customer-managed data ingestion.

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Digital twins at scale: Building the AI architecture that will reshape enterprise operations

CIO Business Intelligence

The virtual representation of the physical entity, constructed using data, algorithms and simulations. Data integration. The process of collecting, processing and integrating data from various sources to ensure the digital twin mirrors the physical entity accurately. Ensure data quality. Digital model.

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Introducing Amazon Q data integration in AWS Glue

AWS Big Data

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability of Amazon Q Developer , enables you to build data integration pipelines using natural language.

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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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Accelerate data integration with Salesforce and AWS using AWS Glue

AWS Big Data

Effective data analytics relies on seamlessly integrating data from disparate systems through identifying, gathering, cleansing, and combining relevant data into a unified format. Refer to Salesforce connection options for different Salesforce connection options. For more information on AWS Glue, visit AWS Glue.

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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions. And around 45% also cite data governance and compliance concerns. Agentic AI is the new frontier in AI evolution, taking center stage in todays enterprise discussion.

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