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Search enterprise data assets using LLMs backed by knowledge graphs

Flipboard

In the context of enterprise data asset search powered by a metadata catalog hosted on services such Amazon DataZone, AWS Glue, and other third-party catalogs, knowledge graphs can help integrate this linked data and also enable a scalable search paradigm that integrates metadata that evolves over time.

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Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q

AWS Machine Learning Blog

In this post, we explore how you can use Amazon Q Business , the AWS generative AI-powered assistant, to build a centralized knowledge base for your organization, unifying structured and unstructured datasets from different sources to accelerate decision-making and drive productivity. In this post, we use IAM Identity Center as the SAML 2.0-aligned

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Harmonize data using AWS Glue and AWS Lake Formation FindMatches ML to build a customer 360 view

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In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience. Run the AWS Glue ML transform job.

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AWS Athena and Glue a Powerful Combo?

Towards AI

Photo by Caspar Camille Rubin on Unsplash AWS Athena is a serverless interactive query system. The sample data used in this article can be downloaded from the link below, Fruit and Vegetable Prices How much do fruits and vegetables cost? Go to the AWS Glue Console. Create a Glue Job to perform ETL operations on your data.

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How to Build ETL Data Pipeline in ML

The MLOps Blog

However, efficient use of ETL pipelines in ML can help make their life much easier. This article explores the importance of ETL pipelines in machine learning, a hands-on example of building ETL pipelines with a popular tool, and suggests the best ways for data engineers to enhance and sustain their pipelines.

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An integrated experience for all your data and AI with Amazon SageMaker Unified Studio (preview)

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Discover your data and put it to work using familiar AWS tools to complete end-to-end development workflows, including data analysis, data processing, model training, generative AI app building, and more, in a single governed environment. Youre redirected to the AWS CloudFormation console to deploy a stack to configure VPC resources.

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Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning Blog

The service, which was launched in March 2021, predates several popular AWS offerings that have anomaly detection, such as Amazon OpenSearch , Amazon CloudWatch , AWS Glue Data Quality , Amazon Redshift ML , and Amazon QuickSight. To use this feature, you can write rules or analyzers and then turn on anomaly detection in AWS Glue ETL.

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