Apache Spark: Apache Spark 2.2 Intermediate

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  • 3 Courses | 3h 28m 7s
  • 8 Books | 30h 58m
  • 5 Courses | 4h 46m 42s
  • 5 Books | 19h 45m
  • 2 Courses | 1h 25m 17s
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Explore Apache Spark, the open-source cluster computing framework that provides a fault-tolerant programming interface for clusters.

GETTING STARTED

Apache Spark Getting Started

  • Playable
    1. 
    Course Overview
    2m 20s
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  • Playable
    2. 
    Introduction to Spark and Hadoop
    5m 17s
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GETTING STARTED

Introduction to Apache Spark

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    1. 
    Overview of Apache Spark
    6m 21s
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  • Playable
    2. 
    Downloading and Installing Apache Spark
    7m 40s
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GETTING STARTED

Introducing Apache Spark for AI Development

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    1. 
    Course Overview
    1m 51s
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  • Playable
    2. 
    Apache Spark: Features and Uses
    2m 26s
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COURSES INCLUDED

Apache Spark Getting Started
Explore the basics of Apache Spark, an analytics engine used for big data processing. It's an open source, cluster computing framework built on top of Hadoop. Discover how it allows operations on data with both its own library methods and with SQL, while delivering great performance. Learn the characteristics, components, and functions of Spark, Hadoop, RDDS, the spark session, and master and worker notes. Install PySpark. Then, initialize a Spark Context and Spark DataFrame from the contents of an RDD and a DataFrame. Configure a DataFrame with a map function. Retrieve and transform data. Finally, convert Spark and Pandas DataFrames and vice versa.
15 videos | 1h 12m
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