AWS Tutorials - Data Lake Export in Amazon Redshift
The exercise URL - https://aws-dojo.com/excercises/excercise38
Amazon Redshift is the cloud data warehouse in AWS. Amazon Redshift provides seamless integration with other storages like Amazon S3. It enables a very cost-effective data warehouse solution where the warm data can be kept in Amazon Redshift storage while the cold data can be kept in the S3 storage. The user can access the S3 data from Redshift in the same way, the data is accessed from the Redshift storage itself. Amazon Redshift enables S3 data access from Amazon Redshift.
Redshift uses Data Lake Export feature which allows to unload the result of a Redshift query to the S3 data lake in Apache Parquet format. This way, Redshift can offload the cold data to the S3 storage.
Видео AWS Tutorials - Data Lake Export in Amazon Redshift канала AWS Tutorials
Amazon Redshift is the cloud data warehouse in AWS. Amazon Redshift provides seamless integration with other storages like Amazon S3. It enables a very cost-effective data warehouse solution where the warm data can be kept in Amazon Redshift storage while the cold data can be kept in the S3 storage. The user can access the S3 data from Redshift in the same way, the data is accessed from the Redshift storage itself. Amazon Redshift enables S3 data access from Amazon Redshift.
Redshift uses Data Lake Export feature which allows to unload the result of a Redshift query to the S3 data lake in Apache Parquet format. This way, Redshift can offload the cold data to the S3 storage.
Видео AWS Tutorials - Data Lake Export in Amazon Redshift канала AWS Tutorials
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