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Building Intelligent Data Platforms with Google BigQuery: Design Scalable Analytics Architectures, Optimize Data Workflows, and Transform Information
Paperback
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Publisher: Independently Published
Pages: 234
Weight: 0.91
Height: 0.49 Width: 7.00 Depth: 10.00
Language: English
Are you ready to move beyond basic SQL queries and build modern data platforms that can scale with your organization? Whether you're a data analyst, data engineer, analytics engineer, BI professional, or cloud architect, mastering Google BigQuery has become an essential skill in today's data-driven world.
Building Intelligent Data Platforms with Google BigQuery is a practical, hands-on guide that teaches you how to design scalable analytics architectures, develop efficient data pipelines, optimize query performance, manage cloud costs, and transform raw data into meaningful business intelligence. Instead of focusing on isolated features, this book shows you how every component works together to create enterprise-ready analytics solutions.
Inside, you'll learn how to:
- Design scalable Google BigQuery architectures for real-world applications.
- Master GoogleSQL to solve complex business and analytical problems.
- Build reliable ETL and ELT data pipelines for modern cloud environments.
- Create high-performance data models using star schemas, denormalization, and nested structures.
- Optimize query execution, improve performance, and reduce BigQuery costs.
- Apply security, governance, and compliance best practices for enterprise data platforms.
- Build predictive models using BigQuery ML and prepare for AI-powered analytics.
- Implement analytics engineering workflows and production-ready transformation pipelines.
- Design end-to-end intelligent data platforms that deliver measurable business value.
With practical examples, production-focused SQL, architectural guidance, and real business scenarios, you'll gain the confidence to build cloud-native analytics solutions that are reliable, secure, and ready for growth. Whether you're preparing for enterprise projects, advancing your data engineering career, or modernizing your organization's analytics platform, this book provides the knowledge and practical skills you can apply immediately.
The future of analytics belongs to professionals who can combine data engineering, cloud computing, database design, data modeling, machine learning, and business intelligence into scalable solutions. This book helps you build that expertise, one practical chapter at a time.
If you're ready to master Google BigQuery, design intelligent data platforms, and turn data into actionable business insights, start reading today and build the skills that modern organizations are looking for.
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