Setup the Matatika platform to deliver and process your data in Amazon Athena in minutes.
Amazon Athena is a serverless interactive query service that enables users to analyze data in Amazon S3 using standard SQL.
Amazon Athena allows users to easily analyze data stored in Amazon S3 using standard SQL queries. It is a serverless service, meaning that users do not need to manage any infrastructure or servers. Instead, they simply point Athena at their data stored in S3 and run SQL queries to extract insights. Athena is designed to handle large datasets and can scale automatically to accommodate growing data volumes. It also integrates with other AWS services, such as Amazon QuickSight, to provide users with powerful data visualization capabilities. Overall, Amazon Athena is a powerful tool for data analysts and data scientists looking to extract insights from large datasets stored in Amazon S3.
The name of the database in Amazon Athena to connect to.
The AWS region where the Amazon Athena API is located.
The access key ID for the AWS S3 bucket used for storing data.
The secret access key for the AWS S3 bucket used for storing data.
The session token for the AWS S3 bucket used for storing data.
The name of the AWS profile to use for authentication.
The name of the AWS S3 bucket used for storing data.
The prefix to use for S3 keys when storing data.
The S3 directory to use for temporary files when querying data.
The delimiter used in the data being queried.
The character used to quote fields in the data being queried.
Whether or not to add metadata to the records returned by the query.
The type of encryption used for data stored in the S3 bucket.
The encryption key used for data stored in the S3 bucket.
The compression format used for data stored in the S3 bucket.
The naming convention used for temporary files created during query execution.
The local directory to use for temporary files during query execution.
The format of the objects stored in the S3 bucket.
Whether or not to flatten nested records in the data being queried.
Collect and process data from 100s of sources and tools with Amazon Athena.
Share data with colleagues and customers in a single workspaceLearn More
Secure data sharing with each of your customersLearn More
Let's discuss a plan for huge amounts of data from many sourcesLearn More