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Mastering KNIME for Workflow Automation: Building Scalable Data Pipelines, Machine Learning Systems, and Enterprise Analytics with Python, SQL, APIs,
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Publisher: Independently Published
Published: Dec 18 2025
Pages: 136
Weight: 0.73
Height: 0.29 Width: 8.50 Depth: 11.00
Language: English
Building Scalable Data Pipelines, Machine Learning Systems, and Enterprise Analytics with Python, SQL, APIs, and Cloud Platforms
KNIME is not just a visual analytics tool-it is a powerful workflow orchestration and execution platform used to build automated data pipelines, enterprise ETL systems, and production-ready machine learning workflows. Mastering KNIME for Workflow Automation teaches you how to design KNIME workflows that are scalable, reliable, reproducible, and ready for real-world production environments.
- Design maintainable and reproducible KNIME workflows from day one
- Build high-performance ETL pipelines using pushdown processing, streaming, and memory optimization
- Integrate files, databases, APIs, Python, SQL, and cloud platforms seamlessly
- Manage schema evolution, data typing, and metadata consistency at scale
- Implement validation, logging, monitoring, and recovery for fault-tolerant pipelines
- Automate workflows with parameterization, flow variables, conditional logic, and scheduling
- Engineer end-to-end machine learning pipelines with feature engineering, evaluation, and deployment readiness
- Apply enterprise security, governance, and workflow lifecycle best practices Each chapter includes real-world, production-focused projects that show how KNIME is used in enterprise environments-not toy examples or exploratory demos.
This book is ideal for data engineers, analytics engineers, data scientists, BI professionals, and KNIME users who want to move from ad-hoc workflows to enterprise-grade automation and analytics systems. If you want to use KNIME as a serious production platform, not just a desktop tool, this book will show you how.
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