جهت دسترسی به کاربرگه ی زیر، از این لینک استفاده کنید. http://localhost/handle/Hannan/2705
عنوان: Practical Data Science
عنوان دیگر: A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets /
پدیدآورنده: Vermeulen, Andreas Franeois. ; author. ;
کلید واژه ها: Computer Science;Big data. ;;Data structures (Computer science). ;;Data Mining;Computer Science;Data Mining and Knowledge Discovery;Big Data/Analytics. ;;Big Data. ;;Data Storage Representation. ;
تاریخ انتشار: 2018
محل نشر: Berkeley, CA :
ناشر: Apress :
Imprint: Apress,
چکیده: 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 inePractical Data Scienceeis 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 andedimensions. What You'll Learn: Become fluent in the essential concepts and terminology of data science and data engineeringe Build and use a technology stack that meets industry criteria Master the methods for retrieving actionable business knowledge Coordinate the handling of polyglot data types in a data lake for repeatable results. ;
توضیحات : 
Printed edition: ; 9781484230534 ;


SpringerLink (Online service) ;
42 ;

آدرس: http://localhost/handle/Hannan/2705
شابک : 9781484230541 ; 978-1-4842-3054-1 ;
اطلاعات بیشتر: XXV, 805 p. 57 illus., 9 illus. in color. ; online resource. ;
مجموعه(های):مهندسی فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9781484230541.pdf7.75 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Practical Data Science
عنوان دیگر: A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets /
پدیدآورنده: Vermeulen, Andreas Franeois. ; author. ;
کلید واژه ها: Computer Science;Big data. ;;Data structures (Computer science). ;;Data Mining;Computer Science;Data Mining and Knowledge Discovery;Big Data/Analytics. ;;Big Data. ;;Data Storage Representation. ;
تاریخ انتشار: 2018
محل نشر: Berkeley, CA :
ناشر: Apress :
Imprint: Apress,
چکیده: 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 inePractical Data Scienceeis 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 andedimensions. What You'll Learn: Become fluent in the essential concepts and terminology of data science and data engineeringe Build and use a technology stack that meets industry criteria Master the methods for retrieving actionable business knowledge Coordinate the handling of polyglot data types in a data lake for repeatable results. ;
توضیحات : 
Printed edition: ; 9781484230534 ;


SpringerLink (Online service) ;
42 ;

آدرس: http://localhost/handle/Hannan/2705
شابک : 9781484230541 ; 978-1-4842-3054-1 ;
اطلاعات بیشتر: XXV, 805 p. 57 illus., 9 illus. in color. ; online resource. ;
مجموعه(های):مهندسی فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9781484230541.pdf7.75 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Practical Data Science
عنوان دیگر: A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets /
پدیدآورنده: Vermeulen, Andreas Franeois. ; author. ;
کلید واژه ها: Computer Science;Big data. ;;Data structures (Computer science). ;;Data Mining;Computer Science;Data Mining and Knowledge Discovery;Big Data/Analytics. ;;Big Data. ;;Data Storage Representation. ;
تاریخ انتشار: 2018
محل نشر: Berkeley, CA :
ناشر: Apress :
Imprint: Apress,
چکیده: 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 inePractical Data Scienceeis 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 andedimensions. What You'll Learn: Become fluent in the essential concepts and terminology of data science and data engineeringe Build and use a technology stack that meets industry criteria Master the methods for retrieving actionable business knowledge Coordinate the handling of polyglot data types in a data lake for repeatable results. ;
توضیحات : 
Printed edition: ; 9781484230534 ;


SpringerLink (Online service) ;
42 ;

آدرس: http://localhost/handle/Hannan/2705
شابک : 9781484230541 ; 978-1-4842-3054-1 ;
اطلاعات بیشتر: XXV, 805 p. 57 illus., 9 illus. in color. ; online resource. ;
مجموعه(های):مهندسی فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9781484230541.pdf7.75 MBAdobe PDFتصویر
مشاهده فایل