Qwiklabs Content

Qwiklabs Content's repositories

terraform-lab-foundation

Terraform Lab Foundation provides general building blocks for Google Cloud content authors. Samples are developed for the most common use cases when building on Google Cloud.

Language:HCLGPL-3.013 70

generative-ai

Sample code and notebooks for Generative AI on Google Cloud

Language:Jupyter NotebookApache-2.01 10

professional-services

Common solutions and tools developed by Google Cloud's Professional Services team

Language:PythonApache-2.01 20

google-cloud-ruby

Google Cloud Client Library for Ruby

Language:RubyApache-2.0070

This legacy Looker dataset contains sample retail logistics data about companies, their products, and customer/order information. Specifically, this dataset contains the following 10 table names: ad_events, ad_groups, campaigns, distribution_centers, events, inventory_items, keywords, order_items, products, and users.

Language:LookML070

qwiklabs-ecommerce-adv

These LookML files are used for an advanced sample project based on sample retail logistics data about companies, their products, and customer/order information. These files use the same data as qwiklabs-ecommerce: ad_events, ad_groups, campaigns, distribution_centers, events, inventory_items, keywords, order_items, products, and users.

Language:LookML060

qwiklabs-flights

This legacy Looker dataset contains real data on aircraft and flights tracked by the US Federal Aviation Administration (FAA). Specifically, this dataset contains the following 5 table names: aircraft, aircraft_models, airports, carriers, and flights.

Language:LookML070

qwiklabs-solarplanning

The LookML files are used for a sample solar planning project based on the existing Google Project Sunroof. These files use data on solar potential for households and existing data from the US Census Bureau.

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