This ebook explains how organizations can build production-grade ETL pipelines using declarative, SQL-first approaches. It outlines the limitations of traditional procedural ETL and the bottlenecks created by language and tooling fragmentation. The guide introduces streaming tables and materialized views as core building blocks that support both batch and real-time processing without complex orchestration. Topics include incremental processing, change data capture, medallion architecture, and performance optimization. Designed for SQL-native practitioners, the ebook shows how teams can reduce handoffs, accelerate delivery, and scale data pipelines using familiar SQL skills.

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