Download Apache Spark 2 for Beginners by Rajanarayanan Thottuvaikkatumana PDF

By Rajanarayanan Thottuvaikkatumana

Key Features

  • This ebook deals a simple creation to the Spark framework released at the most recent model of Apache Spark 2
  • Perform effective information processing, desktop studying and graph processing utilizing numerous Spark components
  • A useful advisor geared toward rookies to get them up and operating with Spark

Book Description

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

This ebook starts off with the basics of Spark 2 and covers the center info processing framework and API, install, and alertness improvement setup. Then the Spark programming version is brought via real-world examples through Spark SQL programming with DataFrames. An advent to SparkR is roofed subsequent. Later, we disguise the charting and plotting positive aspects of Python at the side of Spark info processing. After that, we seriously look into Spark's flow processing, laptop studying, and graph processing libraries. The final bankruptcy combines all of the talents you discovered from the previous chapters to boost a real-world Spark application.

By the top of this publication, you have got all of the wisdom you must improve effective large-scale functions 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 find out how to 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 conversant in Spark move processing utilizing Scala and Python
  • Be brought to computing device studying utilizing Spark MLlib
  • Get all started with graph processing utilizing the Spark GraphX
  • Bring jointly all that you've got discovered and improve a whole Spark application

About the Author

Rajanarayanan Thottuvaikkatumana, Raj, is a pro technologist with greater than 23 years of software program improvement event at numerous multinational businesses. He has lived and labored in India, Singapore, and the us, and is shortly established out of the united kingdom. His adventure comprises architecting, designing, and constructing software program functions. He has labored on numerous applied sciences together with significant databases, program improvement systems, internet applied sciences, and large information applied sciences. on the grounds that 2000, he has been operating often 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 structures. at the moment he's construction a subsequent new release Hadoop YARN-based info processing platform and an software suite outfitted with Spark utilizing Scala.

Raj holds one master's measure in arithmetic, one master's measure in desktop details platforms and has many certifications in ITIL and cloud computing to his credits. Raj is the writer of Cassandra layout styles - moment variation, released by way of Packt.

When now not engaged on the assignments his day activity calls for, Raj is an avid listener to classical tune 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 info research with Python
  6. Spark move Processing
  7. Spark computing device Learning
  8. Spark Graph Processing
  9. Designing Spark Applications

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