This course provides you with a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, you 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. Learn how to design and build data processing systems

Who Should Attend? 

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

Course Outcomes 

After completing this course you should be able to: 

• Design and build data processing systems on Google Cloud Platform 
• Process batch and streaming data by implementing autoscaling data pipelines on Cloud Data flow 
• Derive business insights from extremely large data sets using Google BigQuery 
• Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML 
• Leverage unstructured data using Spark and ML APIs on Cloud Dataproc 
• Enable instant insights from streaming data