Amazon Redshift announces support for the SUPER data type in databases with case insensitive collation, enabling analytics on semi-structured and nested data in these databases. Using the SUPER data type with PartiQL in Amazon Redshift, you can perform advanced analytics that combine structured SQL data (such as string, numeric, and timestamp) with the semi-structured SUPER data (such as JSON) with flexibility and ease-of-use.
This enhancement allows you to leverage the SUPER data type for your structured and semi-structured data processing needs in databases with case-insensitive collation. Using the COLLATE function, you can now explicitly specify case sensitivity preferences for SUPER columns, providing greater flexibility in handling data with varying case patterns. This is particularly valuable when working with JSON documents, APIs, or application data where case consistency isn’t guaranteed. Whether you’re processing user-defined identifiers or integrating data from multiple sources, you can now perform complex queries across both case-sensitive and case-insensitive data without additional normalization overhead.
Amazon Redshift support for the SUPER data type in databases with case insensitive collation is available in all AWS Regions, including the AWS GovCloud (US) Regions, where Amazon Redshift is available. See AWS Region Table for more details. To learn more about the SUPER data type in databases with case insensitive collation, please visit our documentation.
Categories: general:products/amazon-redshift,marketing:marchitecture/databases,general:products/aws-govcloud-us,marketing:marchitecture/analytics
Source: Amazon Web Services
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