Data Engineering on Google Cloud

 4 Days
Delivery Methods
 VILT    Private Group

This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data.


Upcoming Class Dates and Times

Jun 15  - Jun 18, 2021
9:00AM - 5:00PM Central
4 Days
Virtual Instructor Led

Who Should Attend

  • This class is intended for experienced developers who are responsible for managing big data transformations
  • Extracting, Loading, Transforming, cleaning, and validating data
  • Designing pipelines and architectures for data processing
  • Creating and maintaining machine learning and statistical models
  • Querying datasets, visualizing query results and creating reports

Course Objectives

    • Design and build data processing systems on Google Cloud
    • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow
    • Derive business insights from extremely large datasets using Google BigQuery
    • Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML
    • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
    • Enable instant insights from streaming data



To get the most of out of this course, participants should have:

  • Completed Google Cloud Fundamentals: Big Data & Machine Learning course OR have equivalent experience
  • Basic proficiency with common query language such as SQL
  • Experience with data modeling, extract, transform, load activities
  • Developing applications using a common programming language such as Python
  • Familiarity with Machine Learning and/or statistics

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