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Data Engineering on Google Cloud Platform

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    Learn how to design data processing systems, build end-to-end data pipelines, analyse data and carry out machine learning

Overview

Off the shelf (OTS)

This 4-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. The course covers structured, unstructured, and streaming data.

Audience: This class is intended for experienced developers who are responsible for managing big data transformations including: 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.

To get the most of out of this course, participants should have: Completed Google Cloud Fundamentals: Big Data and Machine Learning course OR have equivalent experience basic proficiency with common query language such as SQL experience with data modelling, extract, transform, load activities developing applications using a common programming language such as Python familiarity with machine learning and/or statistics.

Delivery method
Face to face icon

Face to face

Virtual icon

Virtual

Course duration
Duration icon

28 hours

Competency level
Working icon

Working

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Delivery method
  • face to face icon

    Face to face

  • Virtual icon

    Virtual

Course duration
Duration icon

28 hours

Competency level
  • Working icon

    Working