Data Engineering on Google Cloud Platform

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 Prerequisites 
• Completed Google Cloud Fundamentals- Big Data and Machine Learning course #8325 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 Python 
• Familiarity with Machine Learning and/or statistics 

Who Needs to Attend 

• Traditional enterprise business decision makers 
• Suitable for all management levels leading Product, Projects, Programs, Operations, Line of Business, Finance, People Management, Sales, Marketing, and Client Management interested in how Google Cloud can support their business transformation 

• Participants should be reasonably new to cloud technology Prerequisites 
• Knowledgeable about their own business products / services and industry 
• No prior technical knowledge is required