Introduction to Apache Spark
Essentials to Get Started Running Apps
Publisher: O'Reilly Media
Final Release Date: March 2015
Run time: 4 hours 46 minutes

Get up to speed on Apache Spark for building big data applications in Python, Java, or Scala. Recently updated with nearly an hour of new footage on DataFrames in Spark 1.3, this video workshop shows you how to explore data and apply algorithms with MLlib, GraphX, and Spark SQL. You’ll learn Spark and its core APIs by doing hands-on technical exercises with presenter Paco Nathan, host of the popular Just Enough Math video workshop.

With this workshop, you will:

  • Get going with the newest features of Spark 1.3
  • Open a Spark shell
  • Develop Spark apps for typical use cases
  • Use some machine-learning algorithms
  • Explore data sets loaded from HDFS or another filesystem
  • Work with Spark SQL, Spark Streaming, and Spark’s machine-learning library, MLlib
  • Use Maven, SBT, IPython Notebook, and other tooling
  • Learn about Spark follow-up courses and certification

Paco Nathan has led innovative data teams building large-scale apps for several years. He’s an expert in distributed systems, machine learning, cloud computing, and functional programming.

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oreillyIntroduction to Apache Spark
 
4.0

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4.0

Informative

By chaotic3quilibrium

from Irving, Tx

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Pros

  • Accurate
  • Concise
  • Easy to understand
  • Helpful examples
  • Well-written

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    Comments about oreilly Introduction to Apache Spark:

    I thoroughly enjoyed flying through it at 1.5 speed. It grounded me on everything I needed to get done.

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    4.0

    Great intro

    By Mr T

    from Memphis, TN

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    Pros

    • Easy to understand
    • Helpful examples
    • Well-written

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      Best Uses

      • Novice
      • Student

      Comments about oreilly Introduction to Apache Spark:

      This video series was the perfect thing to get a newbie up to speed and working with Spark quickly. Don't expect the complete bible of Spark, that's not what this is. You will need to move on to more in depth material if you are going to build a real Spark application, but this is a great quick way to get you started.

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