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Bridge the gap in your data architecture by strategically combining Databricks BI/AI with traditional business intelligence tools. Learn how to reduce licensing costs, improve dashboard performance, and implement a hybrid approach that leverages the best of both worlds. This practical guide shows you when to use native Databricks capabilities versus tools like Power BI for optimal cost-efficiency and performance.

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Lakebase: The best of both worlds
Lakebase: The best of both worlds
DABs: Referencing Your Resources
DABs: Referencing Your Resources
Managing Databricks CLI Versions in Your DAB Projects
Managing Databricks CLI Versions in Your DAB Projects

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Hubert Dudek Hubert Dudek

DABs: Referencing Your Resources

Databricks bundle lookups failing with "does not exist" errors? Resource references solve timing issues and create strong dependencies. Complete guide with examples.

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Cost Ignacio Rodriguez Vincon Cost Ignacio Rodriguez Vincon

CI/CD Best Practices: Passing tests isn't enough

CI/CD pipelines can pass all jobs yet still deploy broken functionality. This blog covers smoke testing, regression testing, and critical validation strategies: especially useful for data projects where data quality is as important as code quality.

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