Qiang teacher: Large data from entry to the master (5) HDFS- Qiang teacher - Featured Video Course

Qiang teacher: Large data from entry to the master (5) HDFS-122 people have been learning

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    this series of courses will be based on RedHat Linux 7.4 version, Hadoop 2.7.3, Spark 2 full version introduces a whole big data content, so that students with a thorough understanding and master the operating mechanism and principle, to further grasp the big data-related content.
Instructors
    Qiang teacher For more Instructor Course
    graduated from Tsinghua University, has over 13 years of experience. Oracle certified instructor with over 6 years of teaching experience. Mastering Oracle database, intermediate (Weblogic) Hadoop and big data management and development, proficient in Java language. Who Hubei Mobile, the Beijing Municipal Public Security Bureau, China Life Insurance, AutoDesk (China) Co., Ltd., Chengdu arrived Technology Co., Ltd., China Telecom, China Mobile, Shandong Education Network training. Because of its serious and responsible attitude to teaching and course content based on the nature of interpretation, sought after by students.
Course Outline
  Chapter 1: HDFS Overview
    1. HDFS Course Overview   10:11
  Chapter 2: Operation HDFS
    1. HDFS Web Console operation by   11:48
    2. command line operation HDFS   25:59
    3. Create a directory and use the Java API rights issue   37:42
    4. use Java API to upload and download data   16:08
    5. Use Java API to obtain file information   14:59
  Chapter 3: HDFS principles of analysis
    1. HDFS data upload process and theory   And tarry
    2. HDFS process of downloading data and principles   17:07
  Chapter 4: HDFS senior function
    1. HDFS trash   19:34
    2. HDFS snapshot   18:53
    3. HDFS security model and permissions   8:34
    4. HDFS quota   14:54
    5. clusters Introduction of HDFS   21:54
  Chapter 5: the underlying principle of HDFS
    1. one of the underlying principles of HDFS: proxy object   26:34
    2. proxy object applications: Implementation of database connection pool   34:28
    3. two HDFS's underlying principle: What is RPC?   28:32
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