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Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better Read more…
Abstract: Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies
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ترجمه ماشینی :
از نظر تاریخی ، اصطلاح کیفیت برای اندازه گیری عملکرد در زمینه محصولات ، فرآیندها و سیستم ها استفاده شد. با رشد سریع داده ها و استفاده از آن ، کیفیت داده ها بسیار مهم می شود. اتصال این دو جنبه کیفیت برای اطمینان از عملکرد بهتر مهم است. این کتاب ارتباط محکمی بین مفاهیم در علوم داده و مهندسی فرآیند فراهم می کند که برای اطمینان از بهتر 
