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Practical Data Science : A Guide to Building the Technology Stack for Turning...

Description: Practical Data Science : A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets, Paperback by Vermeulen, Andreas François, ISBN 1484230531, ISBN-13 9781484230534, Brand New, Free shipping in the US

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 Youll 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

Price: 38.32 USD

Location: Jessup, Maryland

End Time: 2024-10-02T08:57:37.000Z

Shipping Cost: 0 USD

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Practical Data Science : A Guide to Building the Technology Stack for Turning...

Item Specifics

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 14 Days

Refund will be given as: Money Back

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Book Title: Practical Data Science : A Guide to Building the Technology Stack

Number of Pages: Xxv, 805 Pages

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

Language: English

Publisher: Apress L. P.

Subject: Probability & Statistics / General, Databases / Data Mining, Databases / General

Publication Year: 2018

Item Weight: 55.1 Oz

Type: Textbook

Author: Andreas François Vermeulen

Subject Area: Mathematics, Computers

Item Length: 10 in

Item Width: 7 in

Format: Trade Paperback

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