Category: Amazon Athena

Today we launch the ability to provision capacity to run your Athena queries. Athena is a query service that makes it simple to analyze data in Amazon Simple Storage Service (Amazon S3) data lakes and 30 different data sources, including on-premises data sources or other cloud systems, using standard SQL queries. Athena is serverless, so […]

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! A new week starts, and Spring is almost here! If you’re curious about AWS news from the previous seven days, I got you covered. Last Week’s Launches Here are the […]

When Jeff Barr first announced Amazon Athena in 2016, it changed my perspective on interacting with data. With Amazon Athena, I can interact with my data in just a few steps—starting from creating a table in Athena, loading data using connectors, and querying using the ANSI SQL standard. Over time, various industries, such as financial […]

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! A new week starts, and the News Blog team is getting ready for AWS re:Invent! Many of us will be there next week and it would be great to meet […]

Hundreds of thousands of AWS customers have chosen Amazon DynamoDB for mission-critical workloads since its launch in 2012. DynamoDB is a nonrelational managed database that allows you to store a virtually infinite amount of data and retrieve it with single-digit-millisecond performance at any scale. To get the most value out of this data, customers had […]

Software as a service (SaaS) applications are becoming increasingly important to our customers, and adoption is growing rapidly. While there are many benefits to this way of consuming software, one challenge is that data is now living in lots of different places. To get meaningful insights from this data, we need to have a way […]

As soon as companies started to have data in digital format, it was possible for them to build a data warehouse, collecting data from their operational systems, such as Customer relationship management (CRM) and Enterprise resource planning (ERP) systems, and use this information to support their business decisions. The reduction in costs of storage, together […]

Do you have lots of data to analyze? Is writing SQL a skill you have? Would you like to analyze massive amounts of data at low cost without capacity planning? In this episode, Simon shares how Amazon Athena can give you options you may not have considered before. Additional Resources Amazon Athena Top 10 Performance […]