Google Cloud Skills Boost

Engineer Data in Google Cloud

6 hours Intermediate universal_currency_alt 22 Credits
Earn a skill badge by completing the Engineer Data in Google Cloud quest, where you will learn how to: Build data pipelines using Cloud Dataprep by Trifacta, Pub/Sub, and Dataflow; Use Cloud Storage, Dataflow, and BigQuery to perform ETL; Build a machine learning model using BigQuery ML; Use Cloud Composer to copy data across multiple locations.

This quest is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Data Engineer Certification.

A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.

Badge for Engineer Data in Google Cloud

When you complete this activity, you can earn the badge displayed above! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

  • Lab

    Creating a Data Transformation Pipeline with Cloud Dataprep

    Cloud Dataprep by Alteryx is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. In this lab you will explore the Cloud Dataprep UI to build a data transformation pipeline.

  • Lab

    ETL Processing on Google Cloud Using Dataflow and BigQuery

    In this lab you will build several Data Pipelines that will ingest data from a publicly available dataset into BigQuery.

  • Lab

    Predict Visitor Purchases with a Classification Model in BigQuery ML

    In this lab you will use a newly available ecommerce dataset to run some typical queries that businesses would want to know about their customers’ purchasing habits.

  • Lab

    Cloud Composer: Copying BigQuery Tables Across Different Locations

    In this advanced lab you will create and run an Apache Airflow workflow in Cloud Composer that exports tables from a BigQuery dataset located in Cloud Storage buckets in the US to buckets in Europe, then import th0se tables to a BigQuery dataset in Europe.

  • Lab

    Engineer Data in Google Cloud: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Engineer Data in Google Cloud quest. You should be familiar with the content of labs before attempting this lab.

  • info
    Quest Info
    Prerequisites
    Prior to enrolling in this skill badge quest, it is recommended that you complete the the following quests:
    Available languages
    English, español (Latinoamérica), 日本語, français, and português (Brasil)
    What do I do when I finish this quest?
    After finishing this quest, you can explore additional content in your learning path or browse the learning catalog.
    What badges can I earn?
    Upon finishing a quest, you will earn a badge of completion. Some quests test your ability to apply your knowledge via a final assessment challenge lab. For these quests, you will receive a skill badge. Badges can be viewed on your profile and shared with your social network.