Google Cloud BigQuery Zero to Mastery
A Complete Hands-On Guide for Data Analysts, Data Scientists, and Data Engineers to Build Analytics, ML Pipelines, and Enterprise Data Solutions on GCP
What if you could build production-grade analytics and machine learning pipelines on Google Cloud using clear, proven steps, without guesswork, confusion, or outdated tutorials?
That's the power of this book.
At its core, Google Cloud BigQuery Zero to Mastery solves a single problem: helping you move from basic SQL skills to confidently designing full-scale data systems on GCP. Whether you're analyzing billions of rows in seconds, engineering high-volume ingestion pipelines, or training ML models directly in SQL, this book gives you everything you need to succeed, hands-on, practical, and immediately applicable.
You'll learn the exact patterns modern data teams use to build fast, reliable, and cost-efficient workflows on BigQuery. Step-by-step labs, real architectures, and production-focused examples guide you through creating datasets, optimizing queries, designing schemas, orchestrating pipelines, enforcing governance, and deploying ML models with BQML and Vertex AI. Every chapter builds skills you can use the same day.
Expect to master essential capabilities, including:
- High-performance analytics using partitioning, clustering, window functions, arrays, time-series patterns, and geospatial SQL.
- End-to-end data engineering workflows with Cloud Storage, Pub/Sub, Dataflow, Composer, and Terraform, configured the right way.
- Production-grade ML through BQML regression, classification, XGBoost, feature engineering, evaluation, exporting models, and serving predictions.
- Cost optimization and monitoring, including query plans, INFORMATION_SCHEMA diagnostics, slot management, and cost dashboards.
- Security and governance with IAM, policy tags, column- and row-level controls, audit logging, masking, and compliance-ready configurations.
- Real-world case studies covering ecommerce analytics, IoT telemetry pipelines, and regulated financial datasets, complete with lessons learned.
Whether you're a data analyst wanting to create more powerful insights, a data scientist seeking scalable ML infrastructure, or a data engineer responsible for building reliable pipelines, this book turns BigQuery into a tool you can wield with confidence at enterprise scale.
