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
General
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