New data warehousing use cases with Amazon Redshift (Level 200)

As data grows, we need innovative approaches to get insight from all the information at scale and speed. You can use new Redshift features to do more with your data. Amazon Redshift powers the lake house architecture – enabling you to query data across your data warehouse, data lake, and operational databases to gain faster and deeper insights. You can use the Redshift data API makes to build web-services based applications that access your data using Python, Node.js, and other languages supported by the Amazon SDK. You can simplify JSON and semi-structured data handling with the SUPER data type. You can enable data as a service, cross group collaboration, and workload isolation with data sharing. And you can run scan, filtering, and aggregation operations up to 10X faster than other enterprise cloud data warehouses with AQUA for Redshift. Join this session and learn about these new features and use cases.

Kerry McRae, Solutions Architect, AWS

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