Amazon Athena now supports CREATE TABLE AS SELECT (CTAS) statements with Amazon S3 Tables. Using CTAS statements makes it simple to create a new table and populate it with data using the results of a SELECT query. You can now use CTAS statements in Athena to query existing datasets and create a new table in S3 Tables with the query results, all in a single SQL statement.
S3 Tables deliver the first cloud object store with built-in Apache Iceberg support and streamline storing tabular data at scale. With today’s launch, you can quickly and efficiently convert existing datasets stored in Parquet, CSV, JSON, and other formats, including Apache Iceberg, Hudi, and Delta Lake, into fully-managed tables that are continually optimized for performance and cost. Once created, use Athena to analyze your data, JOIN it with other datasets, and evolve it over time using INSERT and UPDATE operations. Using CTAS, you can partition the data on the fly, giving you flexibility to optimize query performance for different use cases.
You can use CTAS to create S3 Tables in all AWS Regions where both Athena and S3 Tables are supported. To learn more, see the Amazon Athena User Guide.
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Source: Amazon Web Services
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