Data Engineering with Google Cloud Platform - Second Edition
Data Engineering with Google Cloud Platform - Second Edition
A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud
About the Book
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 with invaluable insights into managing and optimizing data resources effectively. Written by a Data Strategic Cloud Engineer at Google, 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.
About the Author
Table of Contents
- Fundamentals of Data engineering with GCP
- Big Data Capabilities on GCP
- Building a data warehouse in BigQuery
- Build Orchestration for Batch Data Loading Using Cloud Composer
- Building a Data Lake using Dataproc
- Process Streaming Data with Datastream, Pub/Sub and Dataflow
- Visualizing Data for Making Data-Driven Decisions with Looker Studio
- Build machine learning solutions on GCP
- User and Project Management on GCP
- Data Governance in GCP
- Cost Strategy in GCP
- CI/CD on Google Cloud Platform for Data Engineers
- Boost your confidence as a Data Engineer
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