Data Engineering on Google Cloud
This course provides a hands-on introduction to designing and building data processing systems on Google Cloud Platform. You will learn how to design data processing systems, build end-to-end data pipelines, analyse data, and carry out machine learning. The course covers structured, unstructured, and streaming data.
Pre-requisites:
Google Cloud Foundations or equivalent experience; basic proficiency with common query language such as SQL; experience with data modelling, extract, transform, load activities; experience with developing applications using a common programming language such as Python; familiarity with ML and/or statistics.
Course objectives:
+ Design and build data processing systems on Google Cloud
+ Process batch & streaming data by implementing auto-scaling data pipelines on Dataflow
+ Derive business insights from extremely large datasets using BigQuery
+ Train, evaluate, and predict using machine learning models using Tensorflow & Vertex AI
+ Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
+ Enable instant insights from streaming data
- Level: Beginner, Intermediate
- Length: 4 days