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Home > Computing and Information Technology Books > Databases > Data capture and analysis > Fast Data Processing with Spark 2: Accelerate your data for rapid insight
Fast Data Processing with Spark 2: Accelerate your data for rapid insight

Fast Data Processing with Spark 2: Accelerate your data for rapid insight


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About the Book

Learn how to use Spark to process big data at speed and scale for sharper analytics. Put the principles into practice for faster, slicker big data projects. Key Features [*] A quick way to get started with Spark – and reap the rewards [*] From analytics to engineering your big data architecture, we’ve got it covered [*] Bring your Scala and Java knowledge – and put it to work on new and exciting problems Book DescriptionWhen people want a way to process big data at speed, Spark is invariably the solution. With its ease of development (in comparison to the relative complexity of Hadoop), it’s unsurprising that it’s becoming popular with data analysts and engineers everywhere. Beginning with the fundamentals, we’ll show you how to get set up with Spark with minimum fuss. You’ll then get to grips with some simple APIs before investigating machine learning and graph processing – throughout we’ll make sure you know exactly how to apply your knowledge. You will also learn how to use the Spark shell, how to load data before finding out how to build and run your own Spark applications. Discover how to manipulate your RDD and get stuck into a range of DataFrame APIs. As if that’s not enough, you’ll also learn some useful Machine Learning algorithms with the help of Spark MLlib and integrating Spark with R. We’ll also make sure you’re confident and prepared for graph processing, as you learn more about the GraphX API.What you will learn [*] Install and set up Spark in your cluster [*] Prototype distributed applications with Spark s interactive shell [*] Perform data wrangling using the new DataFrame APIs [*] Get to know the different ways to interact with Spark s distributed representation of data (RDDs) [*] Query Spark with a SQL-like query syntax [*] See how Spark works with big data [*] Implement machine learning systems with highly scalable algorithms [*] Use R, the popular statistical language, to work with Spark [*] Apply interesting graph algorithms and graph processing with GraphX Who this book is forThis book is for developers with little to no knowledge of Spark, but with a background in Scala/Java programming. It’s recommended that you have experience in dealing and working with big data and a strong interest in data science.

Table of Contents:
Table of Contents

  1. Installing Spark and Setting Up Your Cluster
  2. Using the Spark Shell
  3. Building and Running a Spark Application
  4. Creating a SparkSession
  5. Loading and Saving Data in Spark
  6. Manipulating Your RDD
  7. Spark 2.0 Concepts
  8. Spark SQL
  9. Foundations of Da-tasets/DataFrames - The pro-verbial workhorse for DataSci-entists
  10. Spark with Big Data
  11. Machine Learning with Spark ML Pipelines
  12. Graphx


About the Author :
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. 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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Product Details
  • ISBN-13: 9781785882968
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Edition: Revised edition
  • No of Pages: 274
  • ISBN-10: 1785882961
  • Publisher Date: 24 Oct 2016
  • Binding: Digital (delivered electronically)
  • Language: English
  • Sub Title: Accelerate your data for rapid insight


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