Introduction to Data Modeling

Apache Hadoop 2.0    |    Beginner
  • 15 videos | 1h 1m 33s
  • Includes Assessment
  • Earns a Badge
Rating 4.2 of 30 users Rating 4.2 of 30 users (30)
Discover various data genres and management tools, the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems, and analytical tools.

WHAT YOU WILL LEARN

  • Define data management
    Recognize important data modeling concepts in hadoop
    Identify important issues for storing data in hadoop
    Recognize important considerations when designing hdfs schema
    Recognize important points when designing hdfs schema
    Identify basic concepts of data movement in hadoop
    List important factors that need to be considered for importing data into hadoop
    Identify tools and methods for moving data into hadoop
  • Recognize characteristics of a data stream
    Define how data lakes enable batch processing
    Define data security management and its major domains
    Define kerberos
    Define basics of authentication in hadoop using kerberos
    Identify central issues in processing and management of big data
    Identify important points in hadoop data modeling

IN THIS COURSE

  • 3m 23s
  • 4m 56s
  • Locked
    3.  Hadoop Data Storage Options
    4m 34s
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    4.  HDFS Schema Design
    3m 58s
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    5.  HBase Schema Design
    6m 14s
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    6.  Introduction to Data Movement in Hadoop
    5m 41s
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    7.  Data Ingestion Considerations in Hadoop
    5m 4s
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    8.  Data Ingestion Options in Hadoop
    4m 2s
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    9.  What Is a Data Stream?
    3m 13s
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    10.  What Is a Data Lake?
    4m 36s
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    11.  Introduction to Data Security Management
    4m 9s
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    12.  What Is Kerberos?
    2m 46s
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    13.  Hadoop and Kerberos
    2m 23s
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    14.  Data Warehousing with Hadoop
    5m 7s
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    15.  Exercise: Data Modeling in Hadoop
    1m 28s

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