Data Lake Demo
Source code for video demonstration detailed in the post, Building a Simple Data Lake on AWS . Build a simple data lake on AWS using a combination of services, including Amazon MWAA, AWS Glue Data Catalog, AWS Glue Crawlers, AWS Glue Jobs, AWS Glue Studio, Amazon Athena, and Amazon S3.
Architecture
TICKIT Sample Database
Amazon Redshift TICKIT Sample Database
TICKIT Tables
tickit.saas.categorytickit.saas.eventtickit.saas.venuetickit.crm.userstickit.datetickit.listingtickit.sales
Naming Conventions
+-------------+--------------------------------------------------------------------+
| Prefix | Description |
+-------------+--------------------------------------------------------------------+
| _source | Data Source metadata only (org. call _raw in video) |
| _raw | Raw/Bronze data from data sources (org. call _converted in video) |
| _refined | Refined/Silver data - raw data with initial ELT/cleansing applied |
| _aggregated | Gold/Aggregated data - aggregated/joined refined data |
+-------------+--------------------------------------------------------------------+
AWS CLI Commands
There were two small changes made to the source code, as compared to the video demonstration, to help clarify the flow of data in the demonstration. The prefix for the (7) data source AWS Glue Data Catalog table’s prefix was switched from raw_ from source_. Also, the (7) Raw/Bronze AWS Glue Data Catalog table’s prefix was switched from converted_ to raw_. The final data flow is 1) source_, 2) raw_, 3) refined_, and 4) agg_ (aggregated).
DATA_LAKE_BUCKET="your-data-lake-bucket"
aws s3 rm "s3://${DATA_LAKE_BUCKET}/tickit/" --recursive
aws glue delete-database --name tickit_demo
aws glue create-database \
--database-input '{"Name": "tickit_demo", "Description": "Track sales activity for the fictional TICKIT web site"}'
aws glue get-tables \
--database-name tickit_demo \
--query "TableList[].Name" \
--output table
aws glue start-crawler --name tickit_postgresql
aws glue start-crawler --name tickit_mysql
aws glue start-crawler --name tickit_mssql
aws glue get-tables \
--database-name tickit_demo \
--query "TableList[].Name" \
--expression "source_*" \
--output table
aws glue start-job-run --job-name tickit_public_category_raw
aws glue start-job-run --job-name tickit_public_date_raw
aws glue start-job-run --job-name tickit_public_event_raw
aws glue start-job-run --job-name tickit_public_listing_raw
aws glue start-job-run --job-name tickit_public_sales_raw
aws glue start-job-run --job-name tickit_public_users_raw
aws glue start-job-run --job-name tickit_public_venue_raw
aws glue start-job-run --job-name tickit_public_category_refine
aws glue start-job-run --job-name tickit_public_date_refine
aws glue start-job-run --job-name tickit_public_event_refine
aws glue start-job-run --job-name tickit_public_listing_refine
aws glue start-job-run --job-name tickit_public_sales_refine
aws glue start-job-run --job-name tickit_public_users_refine
aws glue start-job-run --job-name tickit_public_venue_refine
aws glue get-tables \
--database-name tickit_demo \
--query "TableList[].Name" \
--output table
aws s3api list-objects-v2 \
--bucket ${DATA_LAKE_BUCKET} \
--prefix "tickit/" \
--query "Contents[].Key" \
--output table
1 Jan 09, 2022
24 Nov 02, 2022
9 Oct 18, 2022
2 Dec 05, 2021
14 Dec 23, 2022
1 Dec 06, 2021
3 Mar 03, 2022
4 Oct 16, 2022
2 Jan 14, 2022
108 Oct 05, 2022
3 Sep 18, 2022
8 Mar 28, 2022
5 Nov 09, 2022
1.9k Jan 07, 2023
2 Oct 31, 2021
10 Oct 21, 2022
14 Oct 28, 2022
10 Dec 28, 2022
25 Dec 04, 2022
480 Dec 14, 2022