Module 1: Introducing Google Cloud Platform

• Google Platform Fundamentals Overview.
• Google Cloud Platform Big Data Products.
• Lab: Sign up for Google Cloud Platform.

Module 2: Compute and Storage Fundamentals

• CPUs on demand (Compute Engine).
• A global file system (Cloud Storage).
• Cloud Shell.
• Lab: Set up an Ingest-Transform-Publish data processing pipeline.

Module 3: Data Analytics on the Cloud

• Stepping stones to the cloud.
• Cloud SQL: your SQL database on the cloud.
• Lab: Importing data into CloudSQL and running queries.
• Spark on Dataproc.

Module 4: Scaling Data Analysis

• Fast random access.
• Datalab
• BigQuery.

Module 5: Data Processing Architectures

• Message-oriented architectures with Pub/Sub.
• Creating pipelines with Dataflow.
• Reference architecture for real-time and batch data processing.

Module 6: Summary

• Why GCP?.
• Next steps
• Reference material