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Dataplex Labs

About

This repository features self-contained, hands-on-labs with detailed and step-by-step instructions and associated collateral (data, code, configuration, terraform etc) that demystify features and integration points of Dataplex - GCP's Data Governance and Management Service.

Labs

# Category Lab Lab summary Author
1. Product-centric Dataplex Quickstart Labs Lab series showcasing Dataplex features for a learning experience.

If you dont know Dataplex and want to learn the product, with step by step instructions for every feature, as and when they are released

Anagha Khanolkar
2. Solution-centric Dataplex Data Mesh Lab 1 - Banking Lab series showcasing Data Mesh architecture powered by Dataplex based on a Banking usecase.

A L300 lab for architecting and implementing Data mesh using Dataplex and other core GCP services

Mansi Maharana

Contributing

See the contributing instructions to get started contributing.

License

All solutions within this repository are provided under the Apache 2.0 license. Please see the LICENSE file for more detailed terms and conditions.

Disclaimer

This repository and its contents are not an official Google Product.

Issues

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Release History

# Release Summary Date Contributor
1. Initial release of quickstart labs series 20230303 Anagha Khanolkar
2. Initial release of data mesh banking labs 20230306 Mansi Maharana
3. [Quickstart Labs] Additional modules (AutoDQ) to quickstart labs series 20230320 Anagha Khanolkar
4. [Quickstart Labs] Additional modules (DQ tasks) to quickstart labs series 20230321 Anagha Khanolkar
5. [Quickstart Labs] Additional modules (DQ tasks) to quickstart labs series 20230328 Anagha Khanolkar
6. [Quickstart Labs] Module on Biglake 20230411 Anagha Khanolkar
7. [Quickstart Labs] Module on Data Profiling redone from BQ UI 20230921 Jay O' Leary
8. [Quickstart Labs] New module for Dataproc Lineage 20230921 Anagha Khanolkar
9. [Quickstart Labs] Removed references to Explore 20230921 Anagha Khanolkar

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  • Python 63.4%
  • HCL 17.7%
  • Jupyter Notebook 16.1%
  • Shell 2.8%