Learning BigQuery: A Practical Beginner’s Guide to SQL, Data Warehousing, Analytics, and Cloud Data (Modern Data Technologies for Beginners)

Data is one of the most valuable resources in modern organizations, but turning large datasets into useful insights requires the right tools. Learning BigQuery introduces beginners to Google's cloud data warehouse and provides a practical foundation for modern cloud analytics.

The book takes readers from basic SQL and BigQuery concepts through querying datasets, organizing analytical data, optimizing queries, and understanding how cloud-scale data warehousing works.

Inside, you'll learn:

• BigQuery architecture and core concepts
• Projects, datasets, tables, and views
• SQL fundamentals for BigQuery
• Filtering, sorting, grouping, and joining data
• Working with large datasets
• Analytical SQL techniques
• Partitioning and clustering
• Query performance and optimization
• Understanding BigQuery costs
• Loading and exporting data
• Data ingestion and transformation
• Building analytical workflows
• Cloud data warehousing concepts
• BigQuery's role in modern data engineering
• Practical analytics use cases

Written for beginners, Learning BigQuery helps readers develop practical SQL and cloud analytics skills while building an understanding of the modern data warehouse.