Oreilly - Hadoop: Fundamentals - 300000006A0138
Oreilly - Hadoop: Fundamentals
by Integrity Training | Released October 2018 | ISBN: 300000006A0138


Hadoop: Fundamentals training course is designed to give you the basic overview of the Hadoop framework. The course covers the fundamental concepts to process and analyze large sets of data stored in HDFS. The course also briefly touches the more advanced concepts like Sqoop and Flume for data ingestion. The more details about these advanced concepts is covered under the course Hadoop: Intermediate. The Hadoop: Fundamentals course is part of a two course series which covers the essential concepts in getting to know Hadoop and the big-data analytics. With increasing digital trend in the world, the importance of big data and data analytics is going to continue growing in the coming years. This course will enable the candidates to explore opportunities in this growing field of digital science. This course will teach students about Hadoop architecture, ETL, and MapReduce. Show and hide more Publisher Resources Download Example Code
  1. Hadoop Architecture
    • Introduction Prerequisites - Part 1 00:00:21
    • Prerequisites - Part 2 00:19:48
    • Prerequisites - Part 3 00:00:20
    • Introduction - Part 1 00:00:22
    • Introduction - Part 2 00:18:24
    • Introduction - Part 3 00:00:29
    • History - Part 1 00:00:19
    • History - Part 2 00:07:44
    • History - Part 3 00:00:24
    • Architecture - Part 1 00:00:22
    • Architecture - Part 2 00:06:16
    • Architecture - Part 3 00:00:25
    • Ecosystems - Part 1 00:00:19
    • Ecosystems - Part 2 00:15:29
    • Ecosystems - Part 3 00:00:26
    • Data Delivery in Hadoop - Part 1 00:00:22
    • Data Delivery in Hadoop - Part 2 00:07:09
    • Data Delivery in Hadoop - Part 3 00:00:35
    • HDFS Basics - Part 1 00:00:28
    • HDFS Basics - Part 2A 00:11:24
    • HDFS Basics - Part 2B 00:09:06
    • HDFS Basics - Part 3 00:00:32
  2. ETL and MapReduce
    • Big Data Sources And ETL - Part 1 00:00:24
    • Big Data Sources And ETL - Part 2 00:17:49
    • Big Data Sources And ETL - Part 3 00:00:26
    • ETL Demonstration - Part 1 00:00:26
    • ETL Demonstration - Part 2 00:14:21
    • ETL Demonstration - Part 3 00:00:23
    • Understanding MapReduce - Part 1 00:00:20
    • Understanding MapReduce - Part 2 00:16:05
    • Understanding MapReduce - Part 3 00:00:25
    • MapReduce Demonstration - Part 1 00:00:23
    • MapReduce Demonstration - Part 2 00:08:57
    • MapReduce Demonstration - Part 3 00:00:30
    • Developing MapReduce - Part 1 00:00:21
    • Developing MapReduce - Part 2A 00:07:40
    • Developing MapReduce - Part 2B 00:20:20
    • Developing MapReduce - Part 3 00:00:26
    • Schedule MapReduce - Part 1 00:00:25
    • Schedule MapReduce - Part 2 00:09:13
    • Schedule MapReduce - Part 3 00:00:24
  3. Show and hide more

    Oreilly - Hadoop: Fundamentals


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