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Fast Data Processing with Spark 2

You're reading from Fast Data Processing with Spark 2 Accelerate your data for rapid insight

Product type Paperback

Published in Oct 2016

Publisher Packt

ISBN-13 9781785889271

Length 274 pages

Edition 3rd Edition

Languages

Scala

Tools

Apache Spark

Concepts

Data Processing

Authors (2):

Krishna Sankar

Holden Karau

View More author details

Table of Contents (13) Chapters

Preface

1. Installing Spark and Setting Up Your Cluster

2. Using the Spark Shell FREE CHAPTER

3. Building and Running a Spark Application

4. Creating a SparkSession Object

5. Loading and Saving Data in Spark

6. Manipulating Your RDD

7. Spark 2.0 Concepts

8. Spark SQL

9. Foundations of Datasets/DataFrames – The Proverbial Workhorse for DataScientists

10. Spark with Big Data

11. Machine Learning with Spark ML Pipelines

12. GraphX

The Spark shell

The Spark shell is an excellent tool for rapid prototyping with Spark. It works with Scala and Python. It allows you to interact with the Spark cluster and as a result of which, the full API is under your command. It can be great for debugging, just trying things out, or interactively exploring new Datasets or approaches.

The previous chapter should have gotten you to the point of having a Spark instance running; now all you need to do is start your Spark shell and point it at your running instance with the command given in the table we're soon going to check out.

For local mode, Spark will start an instance when you invoke the Spark shell or start a Spark program from an IDE. So, a local installation on a Mac or Linux PC/laptop is sufficient to start exploring the Spark shell. Not having to spin up a real cluster to do the prototyping is an important and useful feature of Spark. The Quick Start guide at http://spark.apache.org/docs/latest/quick-start.html is a good...

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Fast Data Processing with Spark 2 - Third Edition

Published in: Oct 2016

Publisher: Packt

ISBN-13: 9781785889271

© 2016 Packt Publishing Limited All Rights Reserved

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Authors (2)

Karau

Karau

Holden Karau is a software development engineer and is active in the open source. She has worked on a variety of search, classification, and distributed systems problems at IBM, Alpine, Databricks, Google, Foursquare, and Amazon. She graduated from the University of Waterloo with a bachelor's of mathematics degree in computer science. Other than software, she enjoys playing with fire and hula hoops, and welding.

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Krishna Sankar

Krishna Sankar

Krishna Sankar is an AI data scientist with Volvo Cars focusing on autonomous vehicles. Previously, he was the chief data scientist at blackarrow, where he was focusing on optimizing user experience via inference, intelligence, and interfaces. He was the director of a data science/bioinformatics startup and also worked as a distinguished engineer at Cisco. He has been speaking at various conferences as well as guest lecturing at the Naval Postgraduate School. His other passion is Lego Robotics. You'll find him at the St.Louis FLL World Competition as the robot design judge.

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