Redshift unload6/12/2023 ![]() The Data API GitHub repository provides examples for different use cases. Scheduling SQL scripts to simplify data load, unload, and refresh of materialized views.Building event-driven applications with Amazon EventBridge and Lambda.Having simplified access to Amazon Redshift from Amazon SageMaker and Jupyter notebooks.Building your ETL pipelines with AWS Step Functions, Lambda, and stored procedures.Running your query one time and retrieving the results multiple times without having to run the query again within 24 hours.Designing asynchronous web dashboards because the Data API lets you run long-running queries without having to wait for it to complete.Building a serverless data processing workflow.For example, you can run SQL from JavaScript. This enables you to integrate web service-based applications to access data from Amazon Redshift using an API to run SQL statements. ![]()
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