Mastering Google Cloud: A Guide to Becoming a Google Certified Professional Data Engineer

Mastering Google Cloud: A Guide to Becoming a Google Certified Professional Data Engineer

Table of Contents:

Chapter 1: Introduction to Google Cloud Platform
Chapter 2: Cloud Computing Concepts
Chapter 3: Data Engineering Fundamentals
Chapter 4: Google Cloud Storage
Chapter 5: BigQuery: Data Warehousing and Analytics
Chapter 6: Data Processing with Cloud Dataflow
Chapter 7: Data Processing with Cloud Dataproc
Chapter 8: Data Processing with Cloud Dataprep
Chapter 9: Machine Learning with Google Cloud AI Platform
Chapter 10: Real-Time Data Analytics with Cloud Pub/Sub and Dataflow
Chapter 11: Data Visualization with Google Data Studio
Chapter 12: Data Governance and Security in the Cloud
Chapter 13: Building Data Pipelines with Cloud Composer
Chapter 14: Real-Time Stream Processing with Cloud Dataflow
Chapter 15: Data Warehousing with BigQuery


 
Chapter 1: Introduction to Google Cloud Platform