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@@ -21,4 +21,17 @@ can: 1. Extract the data from the `totesys` operational database 2. Store the data in AWS S3 buckets, that will form our data lake 3. Transform the data into a suitable schema for the data warehouse -4. Load the transformed data into the data warehouse hosted on AWS
\ No newline at end of file +4. Load the transformed data into the data warehouse hosted on AWS + +# Key Features + +We aim for the project to have certain features. Some are more prioritised than +others. + +- [ ] Automated data ingestion from `totesys` db +- [ ] Data storage for ingested and processed data in S3 buckets +- [ ] Data transformation for data warehouse schema +- [ ] Automated data loading into the data warehouse schema +- [ ] Logging and monitoring with CloudWatch +- [ ] Notifications for errors and successful runs (e.g. successful ingestion) +- [ ] Visualisation of warehouse data
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