Richard Johnson

Luigi Workflow Systems in Data Engineering (eBook, ePUB)

Definitive Reference for Developers and Engineers

• Format: ePub

Produktbeschreibung

"Luigi Workflow Systems in Data Engineering"
"Luigi Workflow Systems in Data Engineering" offers a comprehensive exploration of Luigi as a cornerstone for modern data pipeline orchestration. Beginning with the evolution of workflow management in data engineering, the book presents a nuanced discussion of the critical challenges posed by today's complex, large-scale data systems and the necessity for robust orchestration. It sets Luigi within a diverse landscape of workflow systems, contrasting legacy architectures with current, maintainable solutions, and guiding readers through contemporary trends such as declarative pipeline definitions.
The heart of the text delves deeply into Luigi's architectural foundations, task modeling, and extensibility features. Readers gain in-depth knowledge of Luigi's approach to dependency management, configuration, environment isolation, and security, all framed through practical design patterns and real-world implementation strategies. The book details how to develop, test, and maintain scalable and resilient pipelines, with a strong focus on reliability, modularity, auditability, and best practices for handling failures, complex dependencies, and parameter management.
Moving beyond the fundamentals, "Luigi Workflow Systems in Data Engineering" illuminates Luigi's vital role in the broader data engineering ecosystem. The volume describes powerful integrations with databases, filesystems, distributed compute frameworks, and cloud-native architectures. With chapters on observability, governance, and advanced use cases-such as machine learning pipelines, real-time analytics, and hybrid cloud deployments-the book concludes by envisioning Luigi's future, examining innovations like serverless orchestration, AI-driven workflow optimization, and the ongoing evolution of Luigi's vibrant open-source community. This is an essential resource for data engineers and architects seeking both foundational mastery and cutting-edge insight into orchestrated data workflows.

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Produktdetails

• Verlag: HiTeX Press
• Seitenzahl: 250
• Erscheinungstermin: 12. Juni 2025
• Englisch
• ISBN-13: 6610000862061
• Artikelnr.: 74413913