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Included an overview of project in README.md file. Got started on scripts for accessing AWS S3 and AWS Glue through the python SDK.
Updated project description in README.md file. Got started AWS Redshift script and continued on scripts for accessing AWS S3 and AWS Glue and through the python SDK.
Added more methods to AWS S3, Glue and Redshift scripts. Added PySpark script for extracting data from S3 source to Bronze tier of data lake.
Made changes to extraction scripts, reorganized project directory to suit three data lake tiers.
Made changes to extraction scripts for each of the tables from the source database
Refactored the extraction scripts package by creating a function that dynamically extracts all tables from the database by iterating through the table names. I also removed the extraction scripts package after testing the extraction function was functional.
Created separate modules for running the ETL pipeline using either a python shell or glue job, depending on the size of the data to be processed from the source S3 bucket.
Separated dag script into into glue dag and python shell dag, reflecting future project direction.
Updated the python shell dag script to show how the data was extracted to the source bucket and how it would be moved to the bronze tier from the source bucket. Also updated README.md file with project outline going forward.
…line due to no tests present
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