Chapter 9: Lake House Architecture
The lake house is an architectural pattern that makes data easily accessible across customers' analytics solutions, thereby preventing data silos. Amazon Redshift is the backbone of the lake house architecture—it allows enterprise customers to query data across data lakes, operational databases, and multiple data warehouses to build an analytics solution without having to move data in and out of these different systems. In this chapter, you will learn how you can leverage the lake house architecture to extend the data warehouse to services outside Amazon Redshift to build your solution, while taking advantage of the built-in integration. For example, you can use the Federated Query capability to join the operational ...
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