Data Engineering and Data Science: Concepts and Applications

Title

Data Engineering and Data Science: Concepts and Applications

Creator

Kumar K.P.; Unal A.; Pillai V.J.; Murthy H.; Niranjanamurthy M.

Description

DATA ENGINEERING and DATA SCIENCE Written and edited by one of the most prolific and well-known experts in the field and his team, this exciting new volume is the one-stop shop for the concepts and applications of data science and engineering for data scientists across many industries. The field of data science is incredibly broad, encompassing everything from cleaning data to deploying predictive models. However, it is rare for any single data scientist to be working across the spectrum day to day. Data scientists usually focus on a few areas and are complemented by a team of other scientists and analysts. Data engineering is also a broad field, but any individual data engineer doesnt need to know the whole spectrum of skills. Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there have to be mechanisms for collecting and validating that information. In this exciting new volume, the team of editors and contributors sketch the broad outlines of data engineering, then walk through more specific descriptions that illustrate specific data engineering roles. Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This book brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library. 2023 Scrivener Publishing LLC.

Source

Data Engineering and Data Science: Concepts and Applications, pp. 1-445.

Date

2023-01-01

Publisher

wiley

Coverage

Kumar K.P., Department of CSE, Christ University, Karnataka, Bangalore, India; Unal A., Stanford University, United States; Pillai V.J., Department of Electronics and Communication Engineering, CHRIST University, Bangalore, India; Murthy H., Department of Electronics and Communication Engineering, CHRIST University, Bangalore, India; Niranjanamurthy M., Department of Computer Applications, BMS Institute of Technology and Management, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-111984199-9; 978-111984187-6

Format

Online

Language

English

Type

Book

Identifier

https://doi.org/10.1002/9781119841999

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174097800&doi=10.1002%2f9781119841999&partnerID=40&md5=2a3601768c2130aa936ffb08f39592f7