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Mastering KNIME for Workflow Automation : Building Scalable Data Pipelines, Machine Learning Systems, and Enterprise Analytics with Python, SQL, APIs, and Cloud Platforms
Mastering KNIME for Workflow Automation
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.
This book moves beyond basic node usage and focuses on workflow engineering principles. You’ll learn how KNIME actually executes workflows, manages metadata, handles large datasets, and integrates with external systems—so your workflows don’t just run, but continue to work as data volumes, complexity, and automation requirements grow.
Inside this book, you will learn how
• 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.
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.
This book moves beyond basic node usage and focuses on workflow engineering principles. You’ll learn how KNIME actually executes workflows, manages metadata, handles large datasets, and integrates with external systems—so your workflows don’t just run, but continue to work as data volumes, complexity, and automation requirements grow.
Inside this book, you will learn how
• 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.
Kindle Edition
Published December 18, 2025
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