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.
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 & 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
The course includes presentations, demonstrations, and hands-on labs.*Course cost listed does not include the cost of courseware. Please contact us at firstname.lastname@example.org or 207-775-0244 for additional pricing information, or if you have any questions. Course is subject to a minimum enrollment to run. Course may run as a Virtual Instructor Led session if the minimum enrollment is not met.