BigQuery Fundamentals for Teradata Professionals

Transitioning from traditional data warehouses to modern cloud solutions requires a clear mental map of how your existing skills translate. This course is designed to bridge that gap, helping you map your Teradata knowledge directly to BigQuery's serverless architecture. Through clear, written explanations and structured comparisons, you will learn to transition workflows, optimize storage, and write efficient queries without starting from scratch. What you'll learn: - Map Teradata architecture, primary indexes, and storage concepts to BigQuery equivalents - Translate Teradata SQL functions, joins, and analytical queries into standard SQL - Configure modern table partitioning and clustering to optimize query performance and reduce costs - Understand the separation of storage and compute in serverless data environments - Apply best practices for data ingestion, schema design, and access control You will begin with essential definitions and structural comparisons, ensuring a strong conceptual foundation before exploring practical SQL translation and performance-tuning strategies. This course is ideal for data engineers, database administrators, and business intelligence analysts who are familiar with Teradata and want to build a solid foundation in BigQuery. No prior cloud experience is necessary. Start reading to transition your data warehousing skills to the modern cloud.