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Machine Learning with Apache Spark Quick Start Guide : Uncover Patterns, Derive Actionable Insights, and Learn from Big Data Using MLlib.
Published 2018Table of Contents: “…Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Chapter 1: The Big Data Ecosystem; A brief history of data; Vertical scaling; Master/slave architecture; Sharding; Data processing and analysis; Data becomes big; Big data ecosystem; Horizontal scaling; Distributed systems; Distributed data stores; Distributed filesystems; Distributed databases; NoSQL databases; Document databases; Columnar databases; Key-value databases; Graph databases; CAP theorem; Distributed search engines; Distributed processing; MapReduce; Apache Spark…”
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