Books & Videos

Table of Contents

  1. Preface

  2. Chapter 1 Making better decisions with data

  3. Chapter 2 Ingesting data into the cloud (Cloud Storage, Compute Engine, AppEngine)

  4. Chapter 3 Creating compelling dashboards (Cloud SQL, Data Studio)

  5. Chapter 4 IStreaming data: publication and ingest (Cloud Pub/Sub, Dataflow, BigQuery, Data Studio)

  6. Chapter 5 Interactive data exploration (BigQuery, Datalab)

  7. Chapter 6 Bayes Classifier using Spark SQL/Pig (Dataproc)

  8. Chapter 7 Machine Learning: Logistic Regression on Spark (Dataproc)

  9. Chapter 8 Time-windowed aggregate features (Dataflow)

  10. Chapter 9 Machine Learning Classifier Using Cloud MLE

  11. Chapter 10 Real-Time Machine Learning Using Dataflow and Cloud MLE