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Learn to build reliable, maintainable, and trusted data pipelines using DBT (Data Build Tool) in this 42-minute conference talk. Explore best practices for data modeling that ensure scalability and maintainability across your analytics infrastructure. Discover how to implement robust data quality tests that catch issues before they impact downstream processes and business decisions. Master the processes and methodologies that foster trust in your analytics by establishing clear data lineage, documentation standards, and validation frameworks. Gain practical insights into structuring DBT projects, writing effective SQL transformations, and creating comprehensive testing strategies that ensure data reliability throughout your pipeline architecture.
