You're reading from Data Engineering with Google Cloud Platform A practical guide to operationalizing scalable data analytics systems on GCP

Product type Paperback

Published in Mar 2022

Publisher Packt

ISBN-13 9781800561328

Length 440 pages

Edition 1st Edition

Languages

Python

Tools

Google Cloud Platform

Concepts

Data Analysis

Author (1):

Adi Wijaya

Preface

1. Section 1: Getting Started with Data Engineering with GCP

2. Chapter 1: Fundamentals of Data Engineering FREE CHAPTER

3. Chapter 2: Big Data Capabilities on GCP

4. Section 2: Building Solutions with GCP Components

5. Chapter 3: Building a Data Warehouse in BigQuery

6. Chapter 4: Building Orchestration for Batch Data Loading Using Cloud Composer

7. Chapter 5: Building a Data Lake Using Dataproc

8. Chapter 6: Processing Streaming Data with Pub/Sub and Dataflow

9. Chapter 7: Visualizing Data for Making Data-Driven Decisions with Data Studio

10. Chapter 8: Building Machine Learning Solutions on Google Cloud Platform

11. Section 3: Key Strategies for Architecting Top-Notch Data Pipelines

12. Chapter 9: User and Project Management in GCP

13. Chapter 10: Cost Strategy in GCP

14. Chapter 11: CI/CD on Google Cloud Platform for Data Engineers

15. Chapter 12: Boosting Your Confidence as a Data Engineer

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