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Can I read Mastering Spark for Data Science on EtoBox?

Mastering Spark for Data Science by Matthew Hallett & David George & Antoine Amend & Andrew Morgan [Matthew Hallett] is a nonfiction available to read on EtoBox.

What is Mastering Spark for Data Science about?

**Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products** **About This Book** * Develop and apply advanced analytical techniques with Spark * Learn how to tell a compelling story with data science using Spark’s ecosystem * Explore data at scale and work with cutting edge data science methods **Who This Book Is For** This book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes. **What You Will Learn** * Learn the design patterns that integrate Spark into industrialized data science pipelines * See how commercial data scientists design scalable code and reusable code for data science services * Explore cutting edge data science methods so that you can study trends and causality * Discover advanced programming techniques using RDD and the DataFram

Who reads Mastering Spark for Data Science?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Matthew Hallett & David George & Antoine Amend & Andrew Morgan [Matthew Hallett]
Publisher
Packt Publishing
Published
2017
Language
EN
Category
nonfiction
Subjects
Computer Science, Organization And Data Processing, Stem

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