Data Science Infrastructure books

manning.com / catalog / Data Science / Data Engineering / Data Science Infrastructure
Delio D'Anna , 2022
(2)
Ville Tuulos
Foreword by Travis Oliphant
, 2022
Mahdi Karabiben , 2022
Olesya Bondarenko , 2021
Chris A. Mattmann and Jukka L. Zitting , 2011
(1)
Michael McCandless, Erik Hatcher, and Otis Gospodnetić , 2010
Erik Hatcher and Otis Gospodnetic , 2004
1
Master the critical components of modern data science infrastructure with expert guidance on deployment, scalability, and production-ready systems. From machine learning model deployment and batch processing pipelines to advanced search capabilities and natural language processing tools, this category provides comprehensive coverage of the technical foundation needed to build robust data operations. Learn essential architectural patterns, best practices for distributed computing, and techniques for managing data workflows at scale. Whether you're architecting ETL processes, implementing search solutions, or streamlining ML operations, these resources will help you create efficient, maintainable, and production-grade data science systems.