Data Engineering and Data Science: Concepts and Applications (repost)
Kukatlapalli Pradeep Kumar, "Data Engineering and Data Science: Concepts and Applications"
English | ISBN: 1119841879 | 2023 | 464 pages | PDF | 114 MB
English | ISBN: 1119841879 | 2023 | 464 pages | PDF | 114 MB
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 doesn’t 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.
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