This four-day instructor-led course provides participants a hands-on introduction to designing and building data processing systems on Google Cloud. Through a combination of presentations, demonstrations, and hands-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyse data, and carry out machine learning. The course covers structured, unstructured, and streaming data.
This course teaches participants the following skills:
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
Leverage unstructured data using Spark and ML APIs on Dataproc.
Enable instant insights from streaming data.
Understand ML APIs and BigQuery ML, and learn to use AutoML to create powerful models without coding.
Google Cloud at Lumify Work
Lumify Work is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test, and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, Lumify Work can support you through training wherever you are in your Cloud adoption journey.
Basic proficiency with common query language such as SQL
Experience with data modeling and ETL (extract, transform, load) activities
Experience with developing applications using a common programming language such Python
Familiarity with Machine Learning and/or statistics
FREE E-BOOK: The New Era of Cloud Computing
We've created this e-book to assist you on your cloud journey, from defining the optimal cloud infrastructure and choosing a cloud platform, to security in the cloud and the core challenges in moving to the cloud.
The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.
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