Data Engineering with Google Cloud Platform: A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud

by Adi Wijaya, António Vilares (Foreword by)

Overview

The second edition of Data Engineering with Google Cloud builds upon the success of the first edition by offering enhanced clarity and depth to data professionals navigating the intricate landscape of data engineering.
Beyond its foundational lessons, this new edition delves into the essential realm of data governance within Google Cloud, providing you invaluable insights into managing and optimizing data resources effectively. Furthermore, this book helps you stay ahead of the curve by guiding you through the latest technological advancements in the Google Cloud ecosystem. You’ll cover essential aspects, from exploring Cloud Composer 2 to the evolution of Airflow 2.5. Additionally, you’ll explore how to work with cutting-edge tools like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream to perform data governance on datasets.
By the end of this book, you'll be equipped to navigate the ever-evolving world of data engineering on Google Cloud, from foundational principles to cutting-edge practices.

Product Details

ISBN-13:	9781835085363
Publisher:	Packt Publishing
Publication date:	04/30/2024
Sold by:	Barnes & Noble
Format:	eBook
Pages:	476
File size:	22 MB
Note:	This product may take a few minutes to download.

About the Author

Adi Wijaya thrives in the dynamic environment of Indonesia, where he enjoys music, art, sports, technology, and analytics. His inquisitive mind is fueled by a passion for data and human nature which he sees as valuable lenses to understand the world. This curiosity naturally led him to the field of data science, where he co-founded DataLabs Indonesia and now leverages his expertise as a Data Strategic Cloud Engineer at Google. Adi is driven by a dual mission: empowering organizations to build robust analytics ecosystems and fostering the growth of talented data practitioners. He's deeply committed to the potential of Big Data and Analytics, believing it can revolutionize not just businesses, but also improve government efficiency, and environmental sustainability, and ultimately, enhance human lives.

Table of Contents

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