Latest updates for Aws Healthlake

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Recent items include:

  • Unleashing Agentic AI Analytics on Amazon SageMaker with Amazon Athena and Amazon Quick
  • From data lake to AI-ready analytics: Introducing new data source with S3 Tables in Amazon Quick
  • Improve DynamoDB analytics with AWS Glue zero-ETL schema and partition controls

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Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.

aws.amazon.com /1 month ago

Unleashing Agentic AI Analytics on Amazon SageMaker with Amazon Athena and Amazon Quick

This post demonstrates how agentic AI assistant from Amazon Quick transform data analytics into a self-service capability by using Amazon Simple Storage Service (Amazon S3) as a st...

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aws.amazon.com /3 weeks ago

From data lake to AI-ready analytics: Introducing new data source with S3 Tables in Amazon Quick

Amazon Quick introduces Amazon S3 Tables (Apache Iceberg tables) as a new data source. With this feature, customers can directly query and visualize Apache Iceberg tables stored in...

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aws.amazon.com /2 weeks ago

Improve DynamoDB analytics with AWS Glue zero-ETL schema and partition controls

In this post, you learn how to replicate Amazon DynamoDB data to Apache Iceberg tables in Amazon S3 through a zero-ETL integration. We walk through the challenges that the DynamoDB...

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dzone.com /1 week ago

Architecting Petabyte-Scale Hyperspectral Pipelines on AWS

The Data Challenge Every industry has its version of the same data engineering problem: massive, complex payloads generated at the edge — far from the cloud, often on unreliable ne...

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aws.amazon.com /1 week ago

A systematic approach to benchmarking SQL processing engines on AWS

Selecting the right SQL processing solution for large-scale data analytics is a critical decision for organizations. As data volumes grow exponentially, the technology landscape ha...

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aws.amazon.com /2 weeks ago

How to use streamlined permissions for Amazon S3 Tables and Iceberg materialized views

In this post, we walk through how to set up and manage S3 Tables in the AWS Glue Data Catalog, create and query Iceberg materialized views, and configure access controls that work...

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aws.amazon.com /4 days ago

Build an enterprise observability solution for Amazon Quick

When hundreds to thousands of users are onboarded to an enterprise AI platform, business leaders and platform owners need visibility into who is using the platform, whether users a...

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aws.amazon.com /2 weeks ago

Detect and resolve HBase inconsistencies faster with AI on Amazon EMR

In this post, we show you how to build an AI-powered troubleshooting solution using Amazon OpenSearch Service vector search and intelligent analysis. This solution reduces HBase in...

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aws.amazon.com /2 weeks ago

Securing client confidentiality at scale: Automated data discovery and governed analytics for legal workloads

In this post, we show you a reference architecture that automates sensitive data discovery across legal document repositories on Amazon Web Services (AWS), demonstrate how to captu...

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aws.amazon.com /4 weeks ago

AWS Transform now automates BI migration to Amazon Quick in days

In this post, we walk through the full journey, from setting up your migration workspace in AWS Transform to subscribing to partner agents through AWS Marketplace to unlocking Amaz...

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aws.amazon.com /1 week ago

How Amazon is moving to integrate catalogs to improve data discovery with Amazon SageMaker

Enterprises face challenges when teams create data assets outside of central data catalogs. It adds overhead for discovery, and limits collaboration. Amazon’s Business Data Technol...

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aws.amazon.com /1 month ago

Analyzing your data catalog: Query SageMaker Catalog metadata with SQL

In this post, we demonstrate how to use the metadata export capability in Amazon SageMaker Catalog and perform analytics such as historical changes, monitor asset growth and track...

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aws.amazon.com /2 weeks ago

Streamlined monitoring and debugging for Amazon EMR on EC2

In this post, we walk you through five key enhancements: Amazon CloudWatch Logs integration, step-level Amazon Simple Storage Service (Amazon S3) logging controls, expanded console...

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aws.amazon.com /1 month ago

Stream live data from Amazon Keyspaces to S3 vector for real time AI applications

In this post, you learn how to build a real-time AI movie recommendation system by streaming live data changes from Amazon Keyspaces to Amazon S3 vector storage. The post shows how...

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aws.amazon.com /3 weeks ago

Enable real-time mainframe analytics with Precisely Connect and Amazon S3

In this post, we discuss how you can use Precisely Connect to enable real-time, direct replication of mainframe data to Amazon Simple Storage Service (Amazon S3), and how your orga...

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aws.amazon.com /2 weeks ago

Amazon Quick: Accelerating the path from enterprise data to AI-powered decisions

Amazon Quick helps turn your large enterprise data into fast and accurate AI-powered decisions. In this post, you will learn about five new capabilities of Amazon Quick that accele...

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aws.amazon.com /1 week ago

Meet Amazon Redshift RG – AWS Graviton-based instances with an integrated data lake query engine delivering up to 2.4x b...

On May 12, 2026, we announced the general availability of Amazon Redshift RG instances, powered by AWS Graviton processors. RG instances are up to 2.2x as fast for data warehouse w...

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aws.amazon.com /1 week ago

Build petabyte-scale synthetic test data with Amazon EMR on EC2

As data volumes grow from terabytes to petabytes, the architecture for generating synthetic data must evolve to meet increasing demands for scale, performance, and data quality. In...

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aws.amazon.com /1 month ago

How to build unified JSON search solutions in AWS

Using a movie streaming reference architecture, this post shows how to implement and sync operational, analytical, and search JSON workloads across AWS services. This pattern provi...

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aws.amazon.com /4 days ago

Automate data discovery and centralized management with AWS Glue Data Catalog

In this post, we show you how to tackle data discovery, classification, and governance across your databases, data warehouses, and object storage to regain visibility and control o...

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aws.amazon.com /2 weeks ago

Optimize Amazon S3 Tables queries with Amazon Redshift

This is the third post in our S3 Tables and Amazon Redshift series. The first post covered getting started with querying Apache Iceberg tables, and the second post walked through e...

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aws.amazon.com /1 month ago

Modernize business intelligence workloads using Amazon Quick

In this post, we provide implementation guidance for building integrated analytics solutions that combine the generative BI features of Amazon Quick with Amazon Redshift and Amazon...

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dzone.com /1 week ago

AWS Managed Database Observability: Monitoring DynamoDB, ElastiCache, and Redshift Beyond CloudWatch

A DynamoDB throttle alarm fires at 2 am. You confirm the spike in CloudWatch, then check ElastiCache in a second dashboard, then Redshift in a third. Cache hit rate dropped, which...

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aws.amazon.com /2 weeks ago

From siloed data to unified insights: Cross-account Athena Access for Amazon Quick

Today, we're announcing cross-account Athena access for Amazon Quick. With this feature, customers can query Athena data in other AWS accounts using AWS Identity and Access Managem...

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Analytics Advanced (300) Technical How-to Amazon Quick Suite Amazon Athena Amazon Redshift Intermediate (200) Amazon EMR AWS Glue Amazon S3 Tables Amazon Simple Storage Service (S3) Artificial Intelligence

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