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dbt Best Practices for Large-Scale Transformations: Lessons from the Trenches
Managing hundreds or thousands of dbt models requires more than just SQL skills—it demands architectural discipline and organizational rigor. This guide shares battle-tested strategies for scaling dbt projects while maintaining performance, collaboration, and code quality.
Apache Kafka vs Pulsar for Real-Time Pipelines: A Data Engineer's Guide to Choosing the Right Streaming Platform
Kafka and Pulsar both power real-time data pipelines, but they take fundamentally different architectural approaches. This comprehensive comparison examines performance, operations, features, and real-world use cases to help you choose the right streaming platform for your organization.
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