AWS data pipeline definition: Names, locations, and formats of your data sources Activities that transform the da
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Reference https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-how-pipeline-definition.html
AWS data pipeline definition:
- Names, locations, and formats of your data sources
- Activities that transform the data
- The schedule for those activities
- Resources that run your activities and preconditions
- Preconditions that must be satisfied before the activities can be scheduled
- Ways to alert you with status updates as pipeline execution proceeds
- Comparison between Database and Data warehouse
reference website:
https://panoply.io/data-warehouse-guide/the-difference-between-a-database-and-a-data-warehouse/#:~:text=A%20data%20warehouse%20is%20a,used%20to%20make%20business%20decisions.
Database transactions usually are executed in an ACID (Atomic, Consistent, Isolated, and Durable) compliant manner
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