Download Apache Spark 2 for Beginners by Rajanarayanan Thottuvaikkatumana PDF

By Rajanarayanan Thottuvaikkatumana

Key Features

  • This e-book deals a simple creation to the Spark framework released at the newest model of Apache Spark 2
  • Perform effective facts processing, computing device studying and graph processing utilizing numerous Spark components
  • A useful consultant aimed toward newbies to get them up and operating with Spark

Book Description

Spark is without doubt one of the such a lot widely-used large-scale information processing engines and runs tremendous speedy. it's a framework that has instruments which are both valuable for software builders in addition to info scientists.

This ebook begins with the basics of Spark 2 and covers the middle facts processing framework and API, deploy, and alertness improvement setup. Then the Spark programming version is brought via real-world examples by way of Spark SQL programming with DataFrames. An creation to SparkR is roofed subsequent. Later, we hide the charting and plotting good points of Python along with Spark info processing. After that, we seriously look into Spark's movement processing, computing device studying, and graph processing libraries. The final bankruptcy combines the entire talents you realized from the previous chapters to boost a real-world Spark application.

By the tip of this ebook, you have got all of the wisdom you must 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 movement processing utilizing Scala and Python
  • Be brought to desktop studying utilizing Spark MLlib
  • Get begun with graph processing utilizing the Spark GraphX
  • Bring jointly all that you've got realized and strengthen an entire Spark application

About the Author

Rajanarayanan Thottuvaikkatumana, Raj, is a professional 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 united states, and is shortly established out of the united kingdom. His event comprises architecting, designing, and constructing software program functions. He has labored on numerous applied sciences together with significant databases, software improvement systems, internet applied sciences, and massive info applied sciences. seeing that 2000, he has been operating usually in Java comparable applied sciences, and does heavy-duty server-side programming in Java and Scala. He has labored on very hugely concurrent, hugely dispensed, 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 laptop info platforms and has many certifications in ITIL and cloud computing to his credits. Raj is the writer of Cassandra layout styles - moment variation, released through Packt.

When no longer engaged on the assignments his day activity 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 move Processing
  7. Spark computing device Learning
  8. Spark Graph Processing
  9. Designing Spark Applications

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