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About

This repo includes tutorials and scripts using Looker and Google Cloud Platform that I have developed for customers and team members. I welcome all comments and feedback; please reach me via LinkedIn or post questions in Looker Community.

Data Modeling using Looker

  1. Modeling BQML (BigQuery Machine Learning) in Looker Tutorial | Example Model
  2. Modeling BigQuery Nested Data Structure in Looker: Tutorial | Example Model

Python Scripts using Looker API/SDK

Update: This repository will not be updated moving forward since I commit all of my code snippets directly to Looker's Official SDK Python examples. Please check Looker's example for the latest update.

  1. Transfer all schedules of a user to another user: Google Colab | (external link) .py file
  2. Add a board or dashboard to "Favorites" for a list of users: Google Colab | (external link) .py file
  3. Pause/resume all schedules (using Python's request module): Google Colab
  4. Pause/resume all schedules (using Looker's native Python SDK): Google Colab | (external link) .py file
  5. Copy all schedules from a Looker dashboard to another dashboard: coming soon | (external link) .py file
  6. Kill all running queries in a Looker instance: Google Colab | (external link) .py file

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  • Jupyter Notebook 84.9%
  • LookML 15.1%