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Big Data Visualization

Big Data Visualization

By : James D. Miller
2 (1)
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Big Data Visualization

Big Data Visualization

2 (1)
By: James D. Miller

Overview of this book

Gain valuable insight into big data analytics with this book. Covering the tools you need to analyse data, together with IBM certified expert James Miller?s insight, this book is the key to data visualization success. ? Learn the tools & techniques to process big data for efficient data visualization ? Packed with insightful real-world use cases ? Addresses the difficulties faced by professionals in the field of big data analytics
Table of Contents (9 chapters)
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Chapter 2.  Access, Speed, and Storage with Hadoop

This chapter aims to target the challenge of storing and accessing large volumes and varieties (structured or unstructured) of data offering working examples demonstrating solutions for effectively addressing these issues.

Since it is expected that you are somewhat familiar with Hadoop, this chapter starts with a brief overview of the technology, but doesn't intend to cover all of the details as the goal is to provide a demonstration using Hadoop as a technology to address the challenge of storing and accessing big data.

In addition, in an effort towards completeness, we'll touch on the possible alternatives to using Hadoop, such as Apache Spark and even a simple scripting solution.

By the end of this chapter, the reader should have an idea of what Hadoop is and how it works, should have acquired an appreciation for the reasoning for leveraging Hadoop to store, and should have accessed big data and also have worked through...

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