Google Cloud Skills Boost

Data Engineering

4 hours Intermediate universal_currency_alt 15 Credits
This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
Badge for Data Engineering

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.

    1 hour
    Intermediate
    5 Credits
    language
    • English
    • español (Latinoamérica)
    • français
    • 日本語
    • português (Brasil)
  • 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.

    1 hour
    Intermediate
    5 Credits
    language
    • English
    • español (Latinoamérica)
    • français
    • 日本語
    • português (Brasil)
  • 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.

    1 hour 15 minutes
    Intermediate
    5 Credits
    language
    • English
    • español (Latinoamérica)
    • français
    • 日本語
    • 한국어
    • português (Brasil)
    • info
    Quest Info
    Prerequisites
    This quest requires proficiency with Google Cloud Services, particularly those relating to working with large datasets. It is recommended that the student have at least earned a Badge by completing the hands-on labs in the Baseline: Data, ML, and AI and/or the Google Cloud Essentials quests before beginning. Additional lab experience with the Scientific Data Processing and the Machine Learning APIs Quests will be useful.
    Available languages
    English, 日本語, español (Latinoamérica), 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.