Big Data Simplified

OBJECTIVE

CHAPTER

9

Working with Big Data

inPython

9.1 Prerequisites

9.2 Basic Libraries in Python

9.3 Python Libraries for Dealing

with Large Data Sets

9.4 Python-MapReduce Using

Hadoop Streaming

In the previous chapter, we explored the possibilities of

using R as an alternate tool to work with large data sets.

We made an in-depth analysis about the capabilities of

R programming to handle large data sets. Finally, we

wrapped up with an introduction to the integration of

R with Hadoop ecosystem.

Continuing with the similar thread for Python, in

this chapter, we shall explore the capabilities of Python

for data management. We shall start with a basic expo-

sure to Python programming language and then build

a deep understanding of the salient Python libraries

along with data handling. We shall also unveil a couple

of very important functionalities in Python for handling

large data and parallel computation. Finally, we shall

get a quick introduction on how Python can be inte-

grated with Hadoop ecosystem.

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