Paths
Data Engineering on Google Cloud Platform
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