| 书目名称 | SQL for Data Science | | 副标题 | Data Cleaning, Wrang | | 编辑 | Antonio Badia | | 视频video | http://file.papertrans.cn/861/860308/860308.mp4 | | 概述 | Explains SQL within the context of data science and introduces its different parts as they are needed for data analysis.Focuses on the steps that are very often given the short shift in traditional te | | 丛书名称 | Data-Centric Systems and Applications | | 图书封面 |  | | 描述 | .This textbook explains SQL within the context. .of data science and introduces the different parts of SQL as they are needed for the tasks usually carried out during data analysis. Using the framework of the data life cycle, it focuses on the steps that are very often given the short shift in traditional textbooks, like data loading, cleaning and pre-processing...The book is organized as follows. Chapter 1 describes the data life cycle, i.e. the sequence of stages from data acquisition to archiving, that data goes through as it is prepared and then actually analyzed, together with the different activities that take place at each stage. Chapter 2 gets into databases proper, explaining how relational databases organize data. Non-traditional data, like XML and text, are also covered. Chapter 3 introduces SQL queries, but unlike traditional textbooks, queries and their parts are described around typical data analysis tasks like data exploration, cleaning and transformation.Chapter 4 introduces some basic techniques for data analysis and shows how SQL can be used for some simple analyses without too much complication. Chapter 5 introduces additional SQL constructs that are important in | | 出版日期 | Textbook 2020 | | 关键词 | Relational Database Model; SQL; Relational Database Query Languages; Data Science; Data Management Syste | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-57592-2 | | isbn_softcover | 978-3-030-57591-5 | | isbn_ebook | 978-3-030-57592-2Series ISSN 2197-9723 Series E-ISSN 2197-974X | | issn_series | 2197-9723 | | copyright | Springer Nature Switzerland AG 2020 |
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