LEARN GOOGLE BIGQUERY Master Serverless Data Warehouse and Production-Scale Analytics

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