Discover how modern data teams are eliminating manual, repetitive pipeline workflows with Coalesce
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:
- Master Coalesce’s column-aware architecture: Understand the foundational approach that makes transformation workflows faster and more maintainable.
- 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.
- Eliminate tech debt with standardized patterns: Learn how repeatable design patterns let any skill level contribute without introducing code quality issues.
- Implement enterprise-grade governance: Configure role-based access control, version control, testing frameworks, and comprehensive documentation.
- Accelerate with AI-powered data discovery: Explore how Coalesce Catalog and its AI Assistant transform metadata management and team collaboration.
- See real migration & modeling patterns: Practical use cases for moving from legacy systems to modern cloud data platforms.
Access the Guide
About the Author
Josh Hall is a data professional with experience spanning data engineering, sales engineering, and technical product marketing. He is passionate about helping others learn, explore, and understand the power and impact of data. Josh has spent much of his career turning complex data concepts into practical insights, through hands-on engineering work, customer-facing solution design, and creating educational content for the broader data community. With over half a decade of consulting experience and several more years building and marketing data products, he shares his hard-earned knowledge so others can accelerate and amplify their own data journey.
