Data Engineering with Google Cloud Platform

Table of Contents

1. Fundamentals of Data Engineering
2. Big Data Capabilities on GCP
3. Building a Data Warehouse in BigQuery
4. Building Orchestration for Batch Data Loading Using Cloud Composer
5. Building a Data Lake Using Dataproc
6. Processing Streaming Data with Pub/Sub and Dataflow
7. Visualizing Data for Making Data-Driven Decisions with Data Studio
8. Building Machine Learning Solutions on Google Cloud Platform
9. User and Project Management in GCP
10. Cost Strategy in GCP
11. CI/CD on Google Cloud Platform for Data Engineers
12. Boosting Your Confidence as a Data Engineer