Data Engineering with Google Cloud Platform

Table of Contents

1. Fundamentals of Data engineering with GCP
2. Big Data Capabilities on GCP
3. Building a data warehouse in BigQuery
4. Build Orchestration for Batch Data Loading Using Cloud Composer
5. Building a Data Lake using Dataproc
6. Process Streaming Data with Datastream, Pub/Sub and Dataflow
7. Visualizing Data for Making Data-Driven Decisions with Looker Studio
8. Build machine learning solutions on GCP
9. User and Project Management on GCP
10. Data Governance in GCP
11. Cost Strategy in GCP
12. CI/CD on Google Cloud Platform for Data Engineers
13. Boost your confidence as a Data Engineer