Latest updates for Amazon Athena

Fresh curated links around Amazon Athena are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Unleashing Agentic AI Analytics on Amazon SageMaker with Amazon Athena and Amazon Quick
  • A systematic approach to benchmarking SQL processing engines on AWS
  • How to use Parquet Column Indexes with Amazon Athena

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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 /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 /1 month ago

How to use Parquet Column Indexes with Amazon Athena

In this blog post, we use Athena and Amazon SageMaker Unified Studio to explore Parquet Column Indexes and demonstrate how they can improve Iceberg query performance. We explain wh...

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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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aws.amazon.com /3 weeks ago

Migrating data from an Amazon Aurora snapshot into Amazon Aurora DSQL

In this post, we demonstrate how to use AWS Glue to migrate data from an Amazon Aurora database snapshot into an Aurora DSQL cluster.

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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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aws.amazon.com /3 weeks ago

Query billion-scale vectors with SQL: Integrating Amazon S3 Vectors and Aurora PostgreSQL

In this post, you’ll learn how to query Amazon S3 Vectors from Amazon Aurora PostgreSQL-Compatible Edition using standard SQL, and how to combine vector similarity results with rel...

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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

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 /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 /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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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 /1 month ago

Text-to-SQL solution powered by Amazon Bedrock

In this post, we show you how to build a natural text-to-SQL solution using Amazon Bedrock that transforms business questions into database queries and returns actionable answers.

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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 /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 /1 week ago

Building an AI-powered grid investigation agent with Aurora DSQL and Amazon Bedrock AgentCore

In this post, we show how to build an Amazon Aurora DSQL database agent that other AI agents can discover and query through natural language using the A2A protocol. You’ll walk thr...

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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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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 /1 month ago

Using Apache Sedona with AWS Glue to process billions of daily points from a geospatial dataset

In this post, we explore how to use Apache Sedona with AWS Glue to process and analyze massive geospatial datasets.

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aws.amazon.com /1 month ago

Accelerate database migration to Amazon Aurora DSQL with Kiro and Amazon Bedrock AgentCore

In this post, we walk through the steps to set up the custom migration assistant agent and migrate a PostgreSQL database to Aurora DSQL. We demonstrate how to use natural language...

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aws.amazon.com /1 month ago

Cost-efficient custom text-to-SQL using Amazon Nova Micro and Amazon Bedrock on-demand inference

In this post, we demonstrate two approaches to fine-tune Amazon Nova Micro for custom SQL dialect generation to deliver both cost efficiency and production ready performance.

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aws.amazon.com /3 weeks ago

Amazon Aurora DSQL for global-scale financial transactions

In this post, we first examine why traditional approaches to distributed consistency fall short for financial workloads. We then walk through how the Amazon Aurora DSQL architectur...

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aws.amazon.com /3 days ago

Optimize costs in Amazon Aurora

By implementing modern optimization techniques for Aurora, you can achieve additional cost reduction beyond traditional methods alone. This isn’t only about spending less—it’s abou...

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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

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aws.amazon.com

Recent coverage from public sources
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Technical How-to Advanced (300) Amazon Athena Amazon Aurora Analytics Amazon Quick Suite Amazon Redshift Intermediate (200) AWS Glue Artificial Intelligence DSQL Amazon Bedrock AgentCore

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