Practical Data Science · A Guide to Building the Technology Stack for Turning Data Lakes Into Business Assets

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