Mastering Data Engineering with BigQuery by Shanthababu Pandian(.ePUB)
File Size: 33.3 MB
Mastering Data Engineering with BigQuery: Building Scalable Analytics and ML Pipelines with BigQuery by Shanthababu Pandian
Requirements: .ePUB reader, 33.3 MB | True EPUB
Overview: Your guide to building intelligent, cloud-ready data pipelines. 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. This book is ideal for data engineers, cloud engineers, analysts, machine learning engineers, and solution architects building scalable data systems on Google Cloud, as well as IT professionals transitioning into cloud data engineering roles. Readers should have a basic programming knowledge (Python or SQL preferred) as prior cloud or data experience is helpful, but not a necessity!
Genre: Non-Fiction > Tech & Devices
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