Data Engineering and Data Science Concepts and Applications
This book, 'Advances in Data Engineering and Machine Learning Engineering', explores the practical applications of data collection, analysis, and management. It focuses on the roles of data engineers, data scientists, and machine learning engineers in enhancing business processes through d...
| Autor principal: | |
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| Otros Autores: | , , , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Newark :
John Wiley & Sons, Incorporated
2023.
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| Edición: | 1st ed |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009811327206719 |
| Sumario: | This book, 'Advances in Data Engineering and Machine Learning Engineering', explores the practical applications of data collection, analysis, and management. It focuses on the roles of data engineers, data scientists, and machine learning engineers in enhancing business processes through data science and machine learning. The book discusses various aspects including DevOps, data science methodologies, testing, quality assurance, social media mining, cloud data warehousing, and applications in nonlinear dynamical systems. It aims to provide insights into effective data management strategies and methodologies for professionals and students in the fields of data engineering, machine learning, and data science. |
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| Descripción Física: | 1 online resource (467 pages) |
| ISBN: | 9781119841999 9781119841982 |
