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Hadoop HDFS: File Permissions

Hadoop HDFS: File Permissions


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

HDFS is the file system used for data science which enables the parallel processing of big data in distributed cluster. When managing a data warehouse, not all users should be given free reign over all the datasets. In this Skillsoft Aspire course, you will explore how file permissions can be viewed and configured in HDFS. The NameNode UI is used to monitor and explore HDFS.



Expected Duration (hours)
0.9

Lesson Objectives

Hadoop HDFS: File Permissions

  • Course Overview
  • count the number of files and view their sizes on HDFS using the count and du commands
  • configure and view permissions for individual files and directories using the getfacl and chmod commands
  • define and set permissions for the entire contents of a directory with the chmod command
  • write a simple bash script
  • automate the transfer of all the files in a directory on your local file system over the HDFS with a shell script
  • identify the data and metrics available on the HDFS NameNode UI and work with its file system explorer
  • delete a Google Cloud Dataproc cluster and all of its associated resources
  • work with file-permissioning in HDFS and recognize the data and metrics available in the NameNode UI
  • Course Number:
    it_dshdfsdj_04_enus

    Expertise Level
    Intermediate