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View Code? Open in Web Editor NEWA collection of examples built with AWS DataOps Development Kit (DDK)
License: Apache License 2.0
A collection of examples built with AWS DataOps Development Kit (DDK)
License: Apache License 2.0
Ingestion from a DB to s3 using glue stage
I am unable to download the cli_helper.py using the command in the Readme.
Excepted behavior
cli_helper.py is downloaded
Current behavior
Downloading cli_helper.py using the command in the Readme returned 404: Not Found
Reproduction Steps
Ran the following command in cli -
curl -LJO https://raw.githubusercontent.com/aws-samples/aws-ddk-examples/feat/cli-helper/cli_helper.py
Returned file contained 404:Not Found
Evaluate if SDLF using DDK can be redesigned using modules to scale the framework beyond data lake pipelines and extend it with plug and play ingestion + visualization
Create a DDK pipeline which can create or replace views periodically using Athena based on given schedule. The pipeline will not create/manage glue db/tables but will work on top those glue db/table to manage views
https://aws.amazon.com/blogs/big-data/prepare-transform-and-orchestrate-your-data-using-aws-glue-databrew-aws-glue-etl-and-aws-step-functions/ - something similar using all ddk stages
Generic data pipeline using s3 event, sqs-lambda and Athena_SQL stage using dynamic queries
Support NOCICD deployment for sdlf-ddk-lightweight
Github workflow to update info.json
& readme.md
dynamically.
https://github.com/aws-samples/aws-glue-databrew-eventdriven-dq-checks - something similar using all ddk stages
Generic data pipeline using s3 event, sqs-lambda and redshift-transform
Example pattern completely within a VPC with no internet access
After deploying via typescript and running the sh script which uploads files to the S3 bucket, the Glue db exists but there are no tables.
Create a MWAA pipeline using DDK
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