In this advanced quest, you will dive deep into Google BigQuery, a powerful data warehouse solution designed for big data analytics. You will learn how to optimize your queries for performance, manage large datasets efficiently, and utilize advanced features such as partitioned tables, clustering, and user-defined functions. You'll work on real-world scenarios, including data ingestion from various sources, data transformation using SQL, and leveraging BigQuery's integration with Google Cloud services. By the end of this quest, you'll have a comprehensive understanding of how to harness the full potential of BigQuery for your data engineering projects, enabling you to tackle complex data challenges with ease.
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Data Engineering with Google BigQuery (Advanced)
• Understand the architecture and components of Google BigQuery.
• Learn to optimize SQL queries for performance and cost-efficiency.
• Implement data ingestion and transformation strategies for large datasets.
• Utilize advanced features like partitioning, clustering, and user-defined functions.