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Practical Big Data Analytics

You're reading from   Practical Big Data Analytics Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781783554393
Length 412 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Nataraj Dasgupta Nataraj Dasgupta
Author Profile Icon Nataraj Dasgupta
Nataraj Dasgupta
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Table of Contents (13) Chapters Close

Preface 1. Too Big or Not Too Big FREE CHAPTER 2. Big Data Mining for the Masses 3. The Analytics Toolkit 4. Big Data With Hadoop 5. Big Data Mining with NoSQL 6. Spark for Big Data Analytics 7. An Introduction to Machine Learning Concepts 8. Machine Learning Deep Dive 9. Enterprise Data Science 10. Closing Thoughts on Big Data 11. External Data Science Resources 12. Other Books You May Enjoy

Spark exercise - hands-on with Spark (Databricks)

This notebook is based on tutorials conducted by Databricks (https://databricks.com/). The tutorial will be conducted using the Databricks' Community Edition of Spark, available to sign up to at https://databricks.com/try-databricks. Databricks is a leading provider of the commercial and enterprise supported version of Spark.

In this tutorial, we will introduce a few basic commands used in Spark. Users are encouraged to try out more extensive Spark tutorials and notebooks that are available on the web for more detailed examples.

Documentation for Spark's Python API can be found at https://spark.apache.org/docs/latest/api/python/pyspark.html#pyspark.sql.

The data for this book was imported into the Databricks' Spark Platform. For more information on importing data, go to Importing Data - Databricks (https://docs.databricks...

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