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Big Data Analytics with Hadoop 3

You're reading from Big Data Analytics with Hadoop 3

Product type Book

Published in May 2018

Publisher Packt

ISBN-13 9781788628846

Pages 482 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Sridhar Alla

Table of Contents (18) Chapters

Title Page

Copyright and Credits

Packt Upsell

Contributors

Preface

Introduction to Hadoop

Overview of Big Data Analytics

Big Data Processing with MapReduce

Scientific Computing and Big Data Analysis with Python and Hadoop

Statistical Big Data Computing with R and Hadoop

Batch Analytics with Apache Spark

Real-Time Analytics with Apache Spark

Batch Analytics with Apache Flink

Stream Processing with Apache Flink

Visualizing Big Data

Introduction to Cloud Computing

Using Amazon Web Services

Index

Installation

In this section, we will look at the steps involved in installing and setting up Jupyter Notebook with the Python interpreter to perform data analysis.

Installing standard Python

Go to the Python download page at http://www.python.org/download/ with your web browser. Python is supported on Windows, macOS, and Linux, and you will find the different installations:

Python releases for Windows at https://www.python.org/downloads/windows/
Python releases for macOS X at https://www.python.org/downloads/mac-osx/
Python source releases (Linux and Unix) at https://www.python.org/downloads/source/

When you click on the download page, you will see the following screen:

If you click on a specific version, such as 3.6.5, then you will be taken to a different page, as shown in the following screenshot:

You can read the release notes and then proceed to download the Python version by simply scrolling down the page, as shown in the following screenshot:

Click the correct version for your operating...

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Authors (1)

Sridhar Alla

Sridhar?Alla?is the co-founder and CTO of Blue Whale Consulting and is expert at helping companies (big and small) define their vision for systems and capabilities that will allow them to establish a strategic execution plan to deal with the ever-growing data collected to support analytics and product teams. He has very experienced at dealing with all aspects of data collection, security, governance, and processing as part of end-to-end big data analytics and machine learning initiatives (including predictive modeling, deep learning, and ML automation). Sridhar?is a published book author and an avid presenter at numerous conferences, including Strata, Hadoop World, and Spark Summit.? He also has several patents filed with the US PTO on large-scale computing and distributed systems.? He has over 18 years' experience writing code in Scala, Java, C, C++, Python, R, and Go, and has extensive hands-on knowledge of Spark, Flink, TensorFlow, Keras, Hadoop, Cassandra, HBase, MongoDB, Riak, Redis, Zeppelin, Mesos, Docker, Kafka, ElasticSearch, Solr, H2O, machine learning, text analytics, distributed computing, and high-performance computing. Sridhar lives with his wife and daughter in New Jersey and in his spare time loves blogging and coaching organizations on next-generation advancements in technology and their alignment with business goals.

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