Book Details

BigQuery sits at the core of modern cloud data platforms, enabling you to analyze massive datasets with speed, scalability, and simplicity. Mastering Data Engineering with BigQuery guides you through the complete lifecycle of cloud-native data systems on Google Cloud Platform—from data ingestion and storage to processing, orchestration, analytics, and machine learning—using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer. You will learn how to design scalable data pipelines, efficiently manage and query large datasets, optimize BigQuery performance, automate workflows, and apply machine learning directly within BigQuery. Throughout the book, core chapters focus on real-world architectures, production-ready patterns, and cost-efficient strategies that reflect how modern enterprises build and operate data platforms at scale. Thus, whether you are a data engineer, cloud engineer, analyst, architect, or developer, this book equips you with the practical skills needed to succeed in data-driven roles.

Author Description

Shanthababu Pandian is a technology leader with more than 24 years of experience in AI, ML, GenAI, and Data Science. A PhD scholar in AI, author, and global speaker, he has led impactful data and AI initiatives across healthcare, finance, and retail while mentoring the next generation of AI professionals.

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