You can now write the results of an Amazon Redshift query to an external table in Amazon S3 either in text or Apache Parquet formats. The external table metadata will be automatically updated and can be stored in AWS Glue, AWS Lake Formation, or your Hive Metastore data catalog. This enables you to easily share your data in the data lake and have it immediately available for analysis with Amazon Redshift Spectrum and other AWS services such as Amazon Athena, Amazon EMR, and Amazon SageMaker. Amazon Redshift Spectrum enables you to power a lake house architecture to directly query and join data across your data warehouse and data lake.
Read More for the details.