This provides us great flexibility to not only query data manually, but also define programmatic approaches to query the data stored in S3 buckets. Moreover, you can query the data using the Athena console, or by using any programming language of your choice like Due to this, it is much easier to start analyzing your S3 data much easily with Athena.
Fortunately, we do not have to use any other services since, Athena offers this feature under the hood to support datastores like CSV, JSON, and some other columnar data formats such as Avro and Parquet. In order to query data using the standard SQL syntax, we need to have some database where the queries can be executed against. In this article, we are going to store a file in a bucket in Amazon S3 and then query the data using Amazon Athena using the standard SQL syntax. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.” By the official definition, “ Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. As you might know, Amazon’s AWS has a lot of services in the field compute, databases, analytics, machine learning, and robotics, one of the most important and popular services is Amazon Athena. In this article, I am going to discuss Amazon Athena and how we can analyze data stored in S3 using Athena.