Data Engineering for Data-Driven Marketing
Editat de Balamurugan Balusamy, Veena Grover, M K Nallakaruppan, Vijay Anand Rajasekaran, Mariofanna Milanovaen Limba Engleză Hardback – 10 mar 2025
Offering a thorough exploration of the symbiotic relationship between data engineering and modern marketing strategies, Data Engineering for Data-Driven Marketing uses a strategic lens to delve into methodologies of collecting, transforming, and storing diverse data sources. With real-world case studies actionable insights, the chapters within navigate the reader through the intricate process of building robust data pipelines, optimizing data quality, and implementing real-time processing techniques, all tailored to elevate marketing campaigns through precision targeting, customer personalization, and predictive modelling.
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Specificații
ISBN-13: 9781836623274
ISBN-10: 1836623275
Pagini: 258
Dimensiuni: 152 x 229 x 16 mm
Greutate: 0.51 kg
Editura: Emerald Publishing Limited
ISBN-10: 1836623275
Pagini: 258
Dimensiuni: 152 x 229 x 16 mm
Greutate: 0.51 kg
Editura: Emerald Publishing Limited
Notă biografică
Balamurugan Balusamy is Associate Dean at Shiv Nadar University, Delhi-NCR following being Professor, School of Computing Sciences and Engineering as well as Director International Relations at Galgotias University, Greater Noida, India.
Veena Grover is a distinguished Economics professional currently Professor of Economics at Noida Institute of Engineering & Technology, Greater Noida, India.
M. K Nallakaruppan is Assistant Professor at the School of Information Technology and Engineering, Vellore Institute of Technology, India. He is an Associate Member of the IEEE and Member of Soft Computing Research Society.
Vijay Anand Rajasekaran is Associate Professor in VIT University, India following his time as Senior Technical Lead at HCL-CISCO, India. His contributions focus on Engineering Education, Block chain and Data Sciences.
Mariofanna Milanova is Professor in the Department of Computer Science for University of Arizona at Little Rock, USA, and has been a faculty member since 2001. She is an IEEE Senior Member, Fulbright U.S. Scholar, and NVIDIA Deep Learning Institute University Ambassador.
Veena Grover is a distinguished Economics professional currently Professor of Economics at Noida Institute of Engineering & Technology, Greater Noida, India.
M. K Nallakaruppan is Assistant Professor at the School of Information Technology and Engineering, Vellore Institute of Technology, India. He is an Associate Member of the IEEE and Member of Soft Computing Research Society.
Vijay Anand Rajasekaran is Associate Professor in VIT University, India following his time as Senior Technical Lead at HCL-CISCO, India. His contributions focus on Engineering Education, Block chain and Data Sciences.
Mariofanna Milanova is Professor in the Department of Computer Science for University of Arizona at Little Rock, USA, and has been a faculty member since 2001. She is an IEEE Senior Member, Fulbright U.S. Scholar, and NVIDIA Deep Learning Institute University Ambassador.
Descriere
Offering a thorough exploration of the symbiotic relationship between data engineering and modern marketing strategies, Data Engineering for Data-Driven Marketing uses a strategic lens to delve into methodologies of collecting, transforming, and storing diverse data sources.