AWS Big Data Blog
Category: Amazon Athena
Improve Amazon Athena query performance using AWS Glue Data Catalog partition indexes
The AWS Glue Data Catalog provides partition indexes to accelerate queries on highly partitioned tables. In the post Improve query performance using AWS Glue partition indexes, we demonstrated how partition indexes reduce the time it takes to fetch partition information during the planning phase of queries run on Amazon EMR, Amazon Redshift Spectrum, and AWS […]
Catalog and analyze Application Load Balancer logs more efficiently with AWS Glue custom classifiers and Amazon Athena
You can query Application Load Balancer (ALB) access logs for various purposes, such as analyzing traffic distribution and patterns. You can also easily use Amazon Athena to create a table and query against the ALB access logs on Amazon Simple Storage Service (Amazon S3). (For more information, see How do I analyze my Application Load […]
How GE Aviation built cloud-native data pipelines at enterprise scale using the AWS platform
This post was co-written with Alcuin Weidus, Principal Architect from GE Aviation. GE Aviation, an operating unit of GE, is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. GE Aviation has a global service network to support these offerings. From the turbosupercharger […]
Query data in Amazon OpenSearch Service using SQL from Amazon Athena
Amazon Athena is an interactive serverless query service to query data from Amazon Simple Storage Service (Amazon S3) in standard SQL. Amazon OpenSearch Service is a fully managed, open-source, distributed search and analytics suite derived from Elasticsearch, allowing you to run OpenSearch Service or Elasticsearch clusters at scale without having to manage hardware provisioning, software […]
Create a serverless event-driven workflow to ingest and process Microsoft data with AWS Glue and Amazon EventBridge
Microsoft SharePoint is a document management system for storing files, organizing documents, and sharing and editing documents in collaboration with others. Your organization may want to ingest SharePoint data into your data lake, combine the SharePoint data with other data that’s available in the data lake, and use it for reporting and analytics purposes. AWS […]
Now Available: Updated guidance on the Data Analytics Lens for AWS Well-Architected Framework
Nearly all businesses today require some form of data analytics processing, from auditing user access to generating sales reports. For all your analytics needs, the Data Analytics Lens for AWS Well-Architected Framework provides prescriptive guidance to help you assess your workloads and identify best practices aligned to the AWS Well-Architected Pillars: Operational Excellence, Security, Reliability, […]
Configure single sign-on authentication for Amazon Athena with Azure AD integrated to on-premises AD
Amazon Athena is an interactive query service that makes it easier to analyze data directly in Amazon Simple Storage Service (Amazon S3) using standard SQL. Cloud operation teams can use AWS Identity and Access Management (IAM) federation to centrally manage access to Athena. This simplifies administration by allowing a governing team to control user access […]
Extract, prepare, and analyze Salesforce.com data using Amazon AppFlow, AWS Glue DataBrew, and Amazon Athena
As organizations embark on their data modernization journey, big data analytics and machine learning (ML) use cases are becoming even more integral parts of business. The ease for data preparation and seamless integration with third-party data sources is of paramount importance in order to gain insights quickly and make critical business decisions faster. AWS Glue […]
Build and orchestrate ETL pipelines using Amazon Athena and AWS Step Functions
Extract, transform, and load (ETL) is the process of reading source data, applying transformation rules to this data, and loading it into the target structures. ETL is performed for various reasons. Sometimes ETL helps align source data to target data structures, whereas other times ETL is done to derive business value by cleansing, standardizing, combining, […]
Use Amazon Athena and Amazon QuickSight in a cross-account environment
This blog post was last reviewed and updated in June 2025. Many AWS customers use a multi-account strategy to host applications for different departments within the same company. However, you might deploy services like Amazon QuickSight using a single-account approach, which raises challenges when you need to use QuickSight in combination with Amazon Athena to […]