Category: Amazon Athena

In this post, I show you how you can use AWS services like AWS Glue to build a Lambda Architecture completely without servers. I use a practical demonstration to examine the tight integration between serverless services on AWS and create a robust data processing Lambda Architecture system.

In the post, I walk through setting up the data pipeline for cost and usage reports, Amazon S3, and Athena, and discuss some of the most common levers for cost savings. I surface tables through Looker, which comes with a host of pre-built data models and dashboards to make analysis of your cost and usage data simple and intuitive.

Have you ever been faced with many different data sources in different formats that need to be analyzed together to drive value and insights?  You need to be able to query, analyze, process, and visualize all your data as one canonical dataset, regardless of the data source or original format. In this post, I walk […]

Deriving insights from large datasets is central to nearly every industry, and life sciences is no exception. To combat the rising cost of bringing drugs to market, pharmaceutical companies are looking for ways to optimize their drug development processes. They are turning to big data analytics to better quantify the effect that their drug compounds […]

One of the great benefits of Amazon S3 is the ability to host, share, or consume public data sets. This provides transparency into data to which an external data scientist or developer might not normally have access. By exposing the data to the public, you can glean many insights that would have been difficult with […]

If you run an operation that continuously generates a large amount of data, you may want to know what kind of data is being inserted by your application. The ability to analyze data intake quickly can be very valuable for business units, such as operations and marketing. For many operations, it’s important to see what […]

Nowadays, it’s common for a web server to be fronted by a global content delivery service, like Amazon CloudFront. This type of front end accelerates delivery of websites, APIs, media content, and other web assets to provide a better experience to users across the globe. The insights gained by analysis of Amazon CloudFront access logs […]

This is a guest post by Seth Fitzsimmons, member of the 2017 OpenStreetMap US board of directors. Seth works with clients including the Humanitarian OpenStreetMap Team, Mapzen, the American Red Cross, and World Bank to craft innovative geospatial solutions. OpenStreetMap (OSM) is a free, editable map of the world, created and maintained by volunteers and […]

February 2024: This post was reviewed and updated to reflect changes in Amazon Athena engine version 3, including cost-based optimization and query result reuse. Amazon Athena is an interactive analytics service built on open source frameworks that make it straightforward to analyze data stored using open table and file formats in Amazon Simple Storage Service […]

This blog post has been translated into Japanese. Data scientists are often concerned about managing the infrastructure behind big data platforms while running SQL on R. Amazon Athena is an interactive query service that works directly with data stored in S3 and makes it easy to analyze data using standard SQL without the need to […]