Overview
In 'Data Engineering with Google Cloud Platform', you'll explore how to construct efficient, scalable data pipelines using GCP services. This hands-on guide covers everything from building data warehouses to deploying machine learning pipelines, helping you master GCP's ecosystem.
What this Book will help me do
- Build comprehensive data ingestion and transformation pipelines using BigQuery, Cloud Storage, and Dataflow.
- Design end-to-end orchestration flows with Airflow and Cloud Composer for automated data processing.
- Leverage Pub/Sub for building real-time event-driven systems and streaming architectures.
- Gain skills to design and manage secure data systems with IAM and governance strategies.
- Prepare for and pass the Professional Data Engineer certification exam to elevate your career.
Author(s)
Adi Wijaya is a seasoned data engineer with significant experience in Google Cloud Platform products and services. His expertise in building data systems has equipped him with insights into the real-world challenges data engineers face. Adi aims to demystify technical topics and deliver practical knowledge through his writing, helping tech professionals excel.
Who is it for?
This book is tailored for data engineers and data analysts who want to leverage GCP for building efficient and scalable data systems. Readers should have a beginner-level understanding of topics like data science, Python, and Linux to fully benefit from the material. It is also suitable for individuals preparing for the Google Professional Data Engineer exam. The book is a practical companion for enhancing cloud and data engineering skills.