Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Busines 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Busines

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Andreas François Vermeulen 作者
Apress
譯者
2018-3-28 出版日期
805 頁數
USD 39.99 價格
Paperback
叢書系列
9781484230534 圖書編碼

Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Busines 在線電子書 圖書標籤: 計算機  Data  Architecture   


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Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Busines 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Busines 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Busines 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Busines 在線電子書 著者簡介

From the Back Cover

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 inPractical Data Scienceis 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 anddimensions.What You'll Learn:Become fluent in the essential concepts and terminology of data science and data engineeringBuild and use a technology stack that meets industry criteriaMaster the methods for retrieving actionable business knowledgeCoordinate the handling of polyglot data types in a data lake for repeatable results

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About the Author

Andreas François Vermeulenis Consulting Manager - Business Intelligence, Big Data, Data Science, Machine Learning, and Computational Analytics at Sopra-Steria, and a doctoral researcher at University St. Andrews on future concepts in massive distributed computing, mechatronics, big data, business intelligence, and deep learning. He owns and incubates the “Rapid Information Factory” data processing framework. He is active in developing next-generation processing frameworks and mechatronics engineering with over 35 years of international experience in data processing, software development, and system architecture. Andre is a data scientist, doctoral trainer, corporate consultant, principal systems architect, and speaker/author/columnist on data science, distributed computing, big data, business intelligence, deep learning, and constraint programming. Andre received his bachelor degree at the North West University at Potchefstroom, his Master of Business Administration at University of Manchester, Master of Business Intelligence and Data Science degree at University of Dundee, and Doctor of Philosophy at University of St Andrews.

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Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Busines 在線電子書 著者簡介


Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Busines 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Busines 在線電子書 圖書描述

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 anddimensions.

What You'll Learn

Become fluent in the essential concepts and terminology of data science and data engineeringBuild and use a technology stack that meets industry criteriaMaster the methods for retrieving actionable business knowledgeCoordinate the handling of polyglot 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

Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Busines 在線電子書 下載 mobi epub pdf txt 在線電子書下載


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