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Data Engineering with Google Cloud Platform

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

Adi Wijaya

Created by Adi Wijaya

Explore practical ways to build and manage scalable data platforms using Google Cloud. Gain hands-on experience with the latest tools and techniques in data engineering, including data governance and pipeline orchestration. Develop the skills needed to confidently design, deploy, and optimize data solutions.

Packt | Apr 2024 | 476 min

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LevelIntermediate
CategoriesData Engineering, Data Warehousing and Big Data Processing Frameworks, Go

What You Will Learn

You will work through real-world scenarios and hands-on examples that mirror challenges faced by data engineers. Each section introduces new tools and techniques, guiding you step by step from foundational concepts to advanced practices. By applying what you learn directly, you'll build confidence and practical skills for your daily work.

Key Features

  • Master data governance and resource management on Google Cloud
  • Build and orchestrate data pipelines using Cloud Composer and Airflow
  • Leverage advanced tools like Dataform, Dataplex, and Dataproc Serverless

Target Audience

Ideal for data analysts, IT professionals, and software engineers with some experience in data engineering who want to deepen their expertise in Google Cloud. If you're looking to build scalable data platforms, improve your workflow, or prepare for Google Cloud certification, you'll find clear guidance and actionable insights here.

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