Data Analytics with Google Cloud Platform

Preface

GCP Overview and Architecture

• Introduction
• Cloud computing history
• Infrastructure as a Service (IaaS)
• Platform as a Service (PaaS)
• Software as a Service (SaaS)
• The cloud computing architecture
• Google Cloud Platform
• Google Cloud Platform Console
• Security via IAM
• Conclusion
• Questions

Google Cloud Platform Storage

• Cloud Storage
• Cloud Datastore
• Cloud Firestore
• Cloud SQL
• Cloud Spanner
• Cloud Bigtable
• Cloud BigQuery
• Conclusion
• Questions

Data Processing and Message with Dataflow and Pub/Sub

• Introduction
• Cloud Dataflow
• Cloud Pub/Sub
• Conclusion
• Questions

Data Processing with Dataproc and Dataprep

• Introduction
• Cloud Dataproc
• Cloud Dataprep
• Conclusion
• Questions

BigQuery and Data Studio

• Introduction
• BigQuery
• Getting started with Google BigQuery
• Introduction to partitioned tables
• Introduction to external data sources
• Google Data Studio
• Conclusion
• Questions

Machine Learning with GCP

• Machine learning and types of machine learning
• TensorFlow and machine learning
• Linear regression with TensorFlow
• The Estimator API
• Unsupervised machine learning
• Cloud ML API (vision, translate, speech)
• Conclusion
• Questions

Sample Use Cases and Example

• Introduction
• Setting up a mobile gaming analytics platform - a reference architecture
• Bulk process using batch pattern
• Managing and processing logs at scale by leveraging the Cloud Dataflow
• Product recommendations using machine learning on Compute Engine
• Conclusion
• Questions