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Scala and Spark for Big Data Analytics

You're reading from   Scala and Spark for Big Data Analytics Explore the concepts of functional programming, data streaming, and machine learning

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785280849
Length 796 pages
Edition 1st Edition
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Concepts
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Authors (2):
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Sridhar Alla Sridhar Alla
Author Profile Icon Sridhar Alla
Sridhar Alla
Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
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Table of Contents (19) Chapters Close

Preface 1. Introduction to Scala FREE CHAPTER 2. Object-Oriented Scala 3. Functional Programming Concepts 4. Collection APIs 5. Tackle Big Data – Spark Comes to the Party 6. Start Working with Spark – REPL and RDDs 7. Special RDD Operations 8. Introduce a Little Structure - Spark SQL 9. Stream Me Up, Scotty - Spark Streaming 10. Everything is Connected - GraphX 11. Learning Machine Learning - Spark MLlib and Spark ML 12. My Name is Bayes, Naive Bayes 13. Time to Put Some Order - Cluster Your Data with Spark MLlib 14. Text Analytics Using Spark ML 15. Spark Tuning 16. Time to Go to ClusterLand - Deploying Spark on a Cluster 17. Testing and Debugging Spark 18. PySpark and SparkR

Introduction to PySpark

Python is one of the most popular and general purpose programming languages with a number of exciting features for data processing and machine learning tasks. To use Spark from Python, PySpark was initially developed as a lightweight frontend of Python to Apache Spark and using Spark's distributed computation engine. In this chapter, we will discuss a few technical aspects of using Spark from Python IDE such as PyCharm.

Many data scientists use Python because it has a rich variety of numerical libraries with a statistical, machine learning, or optimization focus. However, processing large-scale datasets in Python is usually tedious as the runtime is single-threaded. As a result, data that fits in the main memory can only be processed. Considering this limitation and for getting the full flavor of Spark in Python, PySpark was initially developed as...

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