Data transformation is the #1 bottleneck in analytics. Most teams still rely on manual, repetitive processes that slow delivery and create mounting technical debt.
This technical guide from O'Reilly reveals how Coalesce enables data engineers-from seasoned architects to analysts just getting started-to build, manage, and scale transformation pipelines using repeatable design patterns and an intuitive visual interface.
Get your free copy and learn exactly how leading data teams are accelerating pipeline development while maintaining governance and code quality.
What's Inside:
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Master Coalesce's column-aware architecture: Understand the foundational approach that makes transformation workflows faster and more maintainable.
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Build production-ready pipelines in hours, not weeks: Step-by-step guidance on adding data sources, creating nodes, and implementing transformations with bulk editing capabilities.
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Eliminate tech debt with standardized patterns: Learn how repeatable design patterns let any skill level contribute without introducing code quality issues.
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Implement enterprise-grade governance: Configure role-based access control, version control, testing frameworks, and comprehensive documentation.
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Accelerate with AI-powered data discovery: Explore how Coalesce Catalog and its AI Assistant transform metadata management and team collaboration.
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See real migration & modeling patterns: Practical use cases for moving from legacy systems to modern cloud data platforms.