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Home Specialist skills Technology and Software Data Engineering on Google Cloud Platform
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
Virtual
Course duration
28 hours
Competency level
Working

Delivery method
-
Face to face
-
Virtual
Course duration
28 hours
Competency level
-
Working
