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

      5 in stock

      Firm sale: non returnable item
      SKU 9781484230534 Categories ,
      Select Guide Rating
      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 ...

      £54.99

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      Description

      Product ID:9781484230534
      Product Form:Paperback / softback
      Country of Manufacture:US
      Title:Practical Data Science
      Subtitle:A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets
      Authors:Author: Andreas Francois Vermeulen
      Page Count:805
      Subjects:Business mathematics and systems, Business mathematics & systems, Storage media and peripherals, Data mining, Expert systems / knowledge-based systems, Storage media & peripherals, Data mining, Expert systems / knowledge-based systems
      Description:Select Guide Rating
      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 LearnBecome fluent in the essential concepts and terminology of data science and data engineering Build and use a technology stack that meets industry criteriaMaster the methods for retrieving actionable business knowledgeCoordinate the handling ofpolyglot data types in a data lake for repeatable resultsWho This Book Is ForData 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
      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 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

      Imprint Name:APress
      Publisher Name:APress
      Country of Publication:GB
      Publishing Date:2018-02-22

      Additional information

      Weight1582 g
      Dimensions254 × 178 × 42 mm