WhereScape Automation Playbook: Practical Patterns for Building, Testing, and Governing Data Warehouses presents a clear, pragmatic guide to modern data warehouse automation. Grounded in essential principles and current industry realities, the book navigates the technical and organizational challenges that shape data engineering today, showing how automation accelerates delivery, improves quality, and reduces operational risk. Through a focused comparative analysis of automation tools and a deep dive into the WhereScape platform, readers receive actionable guidance on architecture, metadata-driven automation, and pipeline design. The playbook covers end-to-end patterns for automating ingestion, ELT/ETL transformations, testing, model governance, and data validation across on-premises and cloud-native environments, and shows how to leverage WhereScape RED, 3D, and Data Vault Express alongside scripting, APIs, and integration strategies to extend and operationalize solutions. Practical chapters also address error handling, workload optimization, and lifecycle management to ensure resilient, maintainable pipelines. Packed with real-world case studies, industry-specific examples, and forward-looking recommendations, the playbook equips architects, engineers, and business leaders with frameworks for measurable ROI and enterprise adoption. Whether you are designing a new warehouse or modernizing an existing platform, this book is a practical companion for mastering automation patterns that drive faster, more reliable, and better-governed data delivery.
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