Tag: Amazon Athena

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 […]

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 […]

February 2, 2022: Blog updated by Chaitanya Shah. February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Organizations of different size who migrate their applications in cloud or applications born in cloud makes use of various cloud services to innovate and […]

As organizations move their workloads to the cloud, audit logs provide a wealth of information on the operations, governance, and security of assets and resources. As the complexity of the workloads increases, so does the volume of audit logs being generated. It becomes increasingly difficult for organizations to analyze and understand what is happening in […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. You have come up with an exciting hypothesis, and now you are keen to find and analyze as much data as possible to prove (or refute) it. There are many datasets that might be applicable, but they have been created […]