| 書目名稱 | Practical Data Science |
| 副標(biāo)題 | A Guide to Building |
| 編輯 | Andreas Fran?ois Vermeulen |
| 視頻video | http://file.papertrans.cn/753/752927/752927.mp4 |
| 概述 | Provides the essential concepts and terminology to gain fluency in data science and data engineering.Walks through the steps of building a technology stack on a layered framework to retrieve actionabl |
| 圖書封面 |  |
| 描述 | Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets..The data science technology stack demonstrated in .Practical Data Science .is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and?dimensions..What You‘ll Learn.Become fluent in the essential concepts and terminology of data science and data engineering?.Build and use a technology stack that meets industry criteria.Master the methods for retrieving actionable business knowledge.Coordinate the handling ofpolyglot data types in a data lake for repeatable results.Who This Book Is For.Data scientists and data engineers who are required to convert data from a data lake into actionable knowledge for their business, and students who aspire to be data scientists and data engineers. |
| 出版日期 | Book 2018 |
| 關(guān)鍵詞 | data science; polyglot data science; data engineering; data lake; data vault and data mart; data warehous |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4842-3054-1 |
| isbn_softcover | 978-1-4842-3053-4 |
| isbn_ebook | 978-1-4842-3054-1 |
| copyright | Andreas Fran?ois Vermeulen 2018 |
|Archiver|手機版|小黑屋|
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