Data Engineering on Google Cloud Platform

Paths

Data Engineering on Google Cloud Platform

Author:

This path provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos,... Read more

What you will learn:

This path teaches the following skills

  • Design and build data processing systems on Google Cloud Platform
  • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
  • Process batch and streaming data by implementing auto-scaling data pipelines on Cloud Dataflow
  • Derive business insights from extremely large datasets using Google BigQuery
  • Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML
  • Enable instant insights from streaming data

Pre-requisites

Participants should have roughly one (1) year of experience with one or more of the following:

• A common query language such as SQL • Extract, transform, load activities • Data modeling • Machine learning and/or statistics • Programming in Python or Java