On-demand activities

Find the right on-demand learning activities for you. Labs are short learning activities that teach you a specific lesson by giving you direct, temporary, hands-on access to real cloud resources. Courses are longer activities, consisting of several modules made of videos, documents, hands-on labs and quizzes. Finally, quests are similar, but are usually shorter and contain only labs.

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163 results

  1. Lab Featured

    Online Data Migration to BigQuery using Striim

    Continuous Data Replication from Cloud SQL for MySQL to BigQuery using Striim

  2. Lab Featured

    Configuring MongoDB Atlas with BigQuery Dataflow Templates

    In this lab you will provision a MongoDB Atlas cluster, create a dataflow pipeline to load data from the cluster to BigQuery

  3. Lab Featured

    Exploratory Data Analysis using Bigquery and Colab Enterprise

    Exploratory Data Analysis using Bigquery and Colab Enterprise

  4. Lab Featured

    Exploratory Data Analysis using Bigquery and Workbench Instances

    Exploratory Data Analysis using Bigquery and and Workbench Instances

  5. Lab Featured

    Streaming Analytics into BigQuery: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Streaming Analytics into BigQuery quest. You should be familiar with the content of labs before attempting this lab.

  6. Lab Featured

    Analyzing Movie Posters in BigQuery with Remote Models

    In this lab, you learn how to use BigQuery Machine Learning for inference with remote models (Gemini AI models) to Analyze Movie Posters. BigQuery Machine Learning for inference lets you create and run machine learning (ML) models by using GoogleSQL queries.

  7. Lab Featured

    Automating your BigQuery Data Pipeline with Cloud Dataprep

    In this lab, you will examine how Dataprep can be used on complicated data structures in BigQuery.

  8. Lab Featured

    Build a BI Dashboard Using Looker Studio and BigQuery

    In this lab, you will learn how to build a BI dashboard with Looker Studio as the front end, powered by BigQuery on the back end.

  9. Lab Featured

    Export Data from Google Earth Engine to BigQuery

    In this lab, you will learn how to export data from Google Earth Engine to BigQuery using the Earth Engine Code Editor.

  10. Lab Featured

    Data Publishing on BigQuery for Data Sharing Partners

    In this lab you will learn how to share datasets and publish datasets with BigQuery.