Data Engineering on Google Cloud

Overview

This course is delivered by CloudMile.

Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show participants how to design data processing systems, build end-to-end data pipelines, analyse data, and implement machine learning. It covers structured, unstructured, and streaming data.

Key Takeaways

At the end of this programme, you will be able to:

• Design and build data processing systems on Google Cloud
• Process batch and streaming data by implementing autoscaling data pipelines on Dataflow
• Derive business insights from extremely large datasets using 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

Who Should Attend

Please refer to the job roles section. 

Pre-requisites

To get the most out of this programme, you should:

• have completed Google Cloud Big Data and ML Fundamentals programme
• basic proficiency with a 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 as Python
• familiarity with machine learning and/or statistics