The Hadoop Distributed File System (HDFS) and HDFS2

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Получаемые навыки

Python Programming, Apache Hadoop, Mapreduce, Apache Spark

Рецензии

3.9 (оценок: 3,091)
  • 5 stars
    44.06%
  • 4 stars
    28.59%
  • 3 stars
    12.87%
  • 2 stars
    6.92%
  • 1 star
    7.53%
GC

Oct 25, 2015

Super hands on introduction to key Hadoop components, such as Spark, Map Reduce, Hive, Pig, HBase, HDFS, YARN, Squoop and Flume.\n\nI can't wait to the next course on the specialization.

YN

May 23, 2016

Easy into into big data architecture with minimal previous development requirements. Relevant to anyone who wants to grasp basic concepts of how data flows/processed/analyzed in hadoop.

Из урока
Introduction to the Hadoop Stack
In this module we will take a detailed look at the Hadoop stack ranging from the basic HDFS components, to application execution frameworks, and languages, services.

Преподаватели

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    Natasha Balac, Ph.D.

    Interdisciplinary Center for Data Science
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    Paul Rodriguez

    Research Programmer
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    Andrea Zonca

    HPC Applications Specialist

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