Critical Approaches to Data Engineering Systems and Analysis
IGI Global (Verlag)
979-8-3693-2260-4 (ISBN)
The current data engineering demands more than theoretical understanding; it necessitates a practical, nuanced approach. Data engineering involves the intricate orchestration of systems and architectural frameworks for collecting, storing, processing, and analyzing vast datasets. The challenge lies in ensuring this data is managed and harnessed effectively, fostering insightful knowledge and steering organizations toward data-driven decision-making. Critical Approaches to Data Engineering Systems and Analysis unveils the latent potential inherent in diverse data analysis and engineering techniques. It combines compelling perspectives, guidelines, and frameworks, applying statistical and mathematical models. As industries and research communities witness increasing demand for web-based systems, software modules, heuristic models, and survey analysis, the book emphasizes the critical methodologies associated with data verification, reliability, fault tolerance, and viability. This book extends beyond theoretical discourse to practical implications. It underscores the challenges faced in effective learning from unstructured data, emphasizing the need for precise algorithms to avoid erroneous analyses that can lead to false positive decisions. With a specific focus on cloud systems, instrumentation, software modules, and global end-product usage surveys, the book extends its reach to diverse domains such as healthcare, clinical trials, telemedicine, farming, and societal needs. This book is ideal for professionals and researchers engaged in information and knowledge management across various disciplines, including information and communication sciences, computer science, information technology, renewable energy, electronics, and instrumentation. Additionally, executives responsible for expertise, knowledge, information, and organizational development in different work communities will find valuable insights within the pages.
Abhijit Bora is an Assistant Professor in the Department of Computer Applications, Assam Don Bosco University, India. Dr. Bora completed his Master of Computer Applications from Jorhat Engineering College, Dibrugarh University in the year 2009. He was awarded Ph.D from Gauhati University in the year 2017. His research interests include web service, software engineering, distributed computing, Grid Computing, Software Reliability and Data Science, Intelligent Systems, Machine Learning, Information Technology and Information Systems. He is currently working on various research-based activities related to academia and industry. He has advised/supervised students for their BCA, MCA and PhD work. He is involved in contribution of many indexed publications of journal, book chapters, proceedings etc. He is the reviewer for different international Journals, Conferences and workshops around the world. Papul Changmai was born in Ghilamara, Assam, India. He received the B.E. degree in electrical engineering from Jorhat Engineering College, Jorhat, India, in 2008, and the Ph.D. degree from National Institute of Technology Arunachal Pradesh, India, in 2020. He is currently an Assistant Professor in the Department of Electrical and Electronics Engineering, Assam Don Bosco University, Guwahati, India. His current research interests include solar photovoltaic energy, grid integration of renewable energy. Dr. Changmai is also a reviewer of several journals and magazines published by IEEE, Institution of Engineering and Technology (IET), Springer and Elsevier. He has published several international publications including high impact factor SCI journals. Moreover he has a number of Indian patents and successfully completed a set of high valued research and consultancy projects. Dr. Changmai is a recipient of the prestigious National Technical Teacher Award 2022 conferred by Govt. of India. Dr. Mrutyunjay Maharana is Born in Balasore, Odisha, India and currently working as a Principal Engineer and Expert in BYD Automotive Product Strategy & New Technology Research Institute, Shenzhen, China. He was a former Assistant Professor at the School of Electrical Engineering State Key Laboratory Insulation and Power Equipment's (SKLIPE), Xi'an Jiaotong University China. He has received Ph.D. degree from Centre for Energy IIT Guwahati, India in the year 2019. He has completed his M.Tech degree in Mechanical Engineering from IIT Guwahati in year 2014. His research interests include Renewable energy, AI, Predictive modelling, Machine learning, Material Science, Insulation material, dielectrics, nanoengineered materials, condition monitoring, data analysis. He has published more than 30 international publications including high impact SCI research papers. He has granted 3 Indian patent. Dr. Maharana has received young Scientist Award by SERB Government of India in 2018 and prestigious Gandhian Young Technological Innovation (GYTI) award in the year 2019 by Vice President of India.
| Erscheinungsdatum | 05.11.2024 |
|---|---|
| Verlagsort | Hershey |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Gewicht | 272 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| ISBN-13 | 979-8-3693-2260-4 / 9798369322604 |
| Zustand | Neuware |
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