Addressing comments to the pull request "Replace test_data_quality_at_scale.ipynb #208" #230
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Updated the dataset (amazon products reviews replaced with a synthetic data), added a couple of new examples
Replaced Amazon Reviews with a synthetically generated reviews dataset; added declaration of the SPARK version
Commented that Spark version needs to be indicated prior to importing pydeequ; specified that example is being shown with Spark 3.5/pydeequ 1.4.0
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
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Why there are duplicated notebooks outside and inside |
komashk
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Aug 21, 2024
…addressed PR comments awslabs#208 and awslabs#230
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@chenliu0831 Acknowledged. In a rush I added updated files and didn't move them to the tutorials folder. Fixing and opening a new PR. |
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Updated the dataset (amazon products reviews replaced with a synthetic data), added a couple of new examples
issue #207 issue #209
Description of changes:
Two updates:
For test_data_quality_at_scale.ipynb: Updated the tutorial accompanying the blog post "Testing data quality at scale with PyDeequ". The blog has been recently updated and published.
For the other ipynb tutorials (analyzers, profiles, repository, suggestions, verifications) updated S3 links, declaration of SPARK version before loading the library.
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.
Comments in the pull request #208 have been addressed.