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

Video tutorials with code examples

1. Install a custom visualization to a Looker instance
2. Debug LookML errors "Inaccessible views/fields"
3. Create new Looker users from reading email addresses in a Google Sheet
4. Send data from Looker to BigQuery with Cloud Functions and Looker Actions

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