Get Apache Spark 2 for Beginners PDF

By Rajanarayanan Thottuvaikkatumana

ISBN-10: 1785885006

ISBN-13: 9781785885006

Key Features

  • This publication bargains a simple creation to the Spark framework released at the most up-to-date model of Apache Spark 2
  • Perform effective info processing, computer studying and graph processing utilizing quite a few Spark components
  • A useful consultant aimed toward newbies to get them up and working with Spark

Book Description

Spark is likely one of the so much widely-used large-scale info processing engines and runs tremendous quickly. it's a framework that has instruments which are both helpful for program builders in addition to facts scientists.

This e-book begins with the basics of Spark 2 and covers the center information processing framework and API, deploy, and alertness improvement setup. Then the Spark programming version is brought via real-world examples by means of Spark SQL programming with DataFrames. An creation to SparkR is roofed subsequent. Later, we hide the charting and plotting gains of Python at the side of Spark info processing. After that, we seriously look into Spark's move processing, computer studying, and graph processing libraries. The final bankruptcy combines all of the talents you realized from the previous chapters to strengthen a real-world Spark application.

By the top of this ebook, you have the entire wisdom you want to increase effective large-scale purposes utilizing Apache Spark.

What you are going to learn

  • Get to understand the basics of Spark 2 and the Spark programming version utilizing Scala and Python
  • Know how you can use Spark SQL and DataFrames utilizing Scala and Python
  • Get an advent to Spark programming utilizing R
  • Perform Spark information processing, charting, and plotting utilizing Python
  • Get accustomed to Spark circulation processing utilizing Scala and Python
  • Be brought to computer studying utilizing Spark MLlib
  • Get all started with graph processing utilizing the Spark GraphX
  • Bring jointly all that you have discovered and strengthen a whole Spark application

About the Author

Rajanarayanan Thottuvaikkatumana, Raj, is a pro technologist with greater than 23 years of software program improvement adventure at a number of multinational businesses. He has lived and labored in India, Singapore, and america, and is almost immediately dependent out of the united kingdom. His adventure comprises architecting, designing, and constructing software program purposes. He has labored on numerous applied sciences together with significant databases, software improvement structures, internet applied sciences, and massive facts applied sciences. on account that 2000, he has been operating customarily in Java similar applied sciences, and does heavy-duty server-side programming in Java and Scala. He has labored on very hugely concurrent, hugely allotted, and excessive transaction quantity platforms. at the moment he's construction a subsequent new release Hadoop YARN-based information processing platform and an software suite outfitted with Spark utilizing Scala.

Raj holds one master's measure in arithmetic, one master's measure in computing device details structures and has many certifications in ITIL and cloud computing to his credits. Raj is the writer of Cassandra layout styles - moment version, released via Packt.

When now not engaged on the assignments his day task calls for, Raj is an avid listener to classical track and watches loads of tennis.

Table of Contents

  1. Spark Fundamentals
  2. Spark Programming Model
  3. Spark SQL
  4. Spark Programming with R
  5. Spark information research with Python
  6. Spark circulation Processing
  7. Spark laptop Learning
  8. Spark Graph Processing
  9. Designing Spark Applications

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