LEARN GOOGLE BIGQUERY: Master Serverless Data Warehouse and Production-Scale Analytics
About this ebook
This book is intended for data students and professionals seeking to master large-scale data analysis, integration, and automation using Google BigQuery in the most demanding market scenarios. Structured for immediate application, the content covers everything from cloud environment setup, efficient data ingestion, partitioned table modeling, and clustering to advanced SQL for analytical processing, integration with Dataflow, Data Studio, Looker, and automation of BI and machine learning workflows.
You will execute:
• Provisioning Google Cloud projects and datasets
• Ingesting, partitioning, and clustering large volumes
• Analytical modeling with SQL optimized for BigQuery
• Integrating with Dataflow, Data Studio, and Looker pipelines
• Automating ETL routines and data governance
• Orchestrating jobs, monitoring, and performance tuning
• Applying native machine learning and integrating external APIs
By the end, you will be able to implement professional solutions for data analysis, BI, automation, and machine learning, aligned with the needs of modern organizations and scalable projects.
bigquery, google cloud, data analysis, advanced sql, bi, dataflow, etl, clustering, machine learning, governance
About the author
Diego Rodrigues
Technical Author and Independent Researcher
ORCID: https://orcid.org/0009-0006-
StudioD21 Smart Tech Content & Intell Systems
Email: [email protected]
LinkedIn: linkedin.com/in/diegoexpertai
International technical author (tech writer) focused on the structured production of applied knowledge. He is the founder of StudioD21 Smart Tech Content & Intell Systems, where he leads the creation of intelligent frameworks and the publication of didactic technical books supported by artificial intelligence, such as the Kali Linux Extreme series, SMARTBOOKS D21, among others.
Holder of 42 international certifications issued by institutions such as IBM, Google, Microsoft, AWS, Cisco, META, Ec-Council, Palo Alto, and Boston University, he works in the fields of Artificial Intelligence, Machine Learning, Data Science, Big Data, Blockchain, Connectivity Technologies, Ethical Hacking, and Threat Intelligence.
Since 2003, he has developed more than 200 technical projects for brands in Brazil, the USA, and Mexico. In 2024, he established himself as one of the leading technical book authors of the new generation, with over 180 titles published in six languages. His work is based on his proprietary TECHWRITE 2.3 applied technical writing protocol, focused on scalability, conceptual precision, and practical applicability in professional environments.
