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Big Data HADOOP Mapreduce Development
Introduction
introduction (6:11)
Big Data at a Glance
1.1-What is data (8:33)
1.2-What is big data (4:58)
1.3-Data Sources of Big Data part1 (9:46)
1.4-Data Sources of Big Data part2 (7:52)
1.5-Big Data Customers-Many Industrial Domain (12:58)
1.6-Traditional Analytics vs Big Data Analytics (10:06)
Big Data Attributes Challenges
2.1-BigData-Attributes-Volume (4:18)
2.2-Variety of Data (3:00)
2.3-Velocity (2:30)
2.4-Veracity (3:01)
Getting Started with Hadoop
3.1-Hadoop History (5:45)
3.2-Hadoop Concepts (6:04)
3.3-Hadoop Ecosystem (3:54)
3.4-Hadoop Core Components (3:43)
3.5-Hadoop Distributions (2:40)
HDFS Architecture and Concepts
4.1-HDFS Blocks File Splits (7:24)
4.2-HDFS Architecture (10:57)
4.3-HDFS Write Operation (4:19)
4.4-Secondary-namenode (4:52)
4.5-HDFS-2.X-Architecture (2:34)
4.6-Hadoop-2.X-Architecture-Part-2 (7:32)
Understanding MapReduce
5.1-MapReduce Components (6:25)
5.2-Understand MapReduce Flow (5:09)
5.3-Client Communication (2:53)
5.4-Need of YARN (11:52)
5.5-NodeManager (4:54)
5.6-Hadoop Cluster Modes (2:47)
Hadoop Installation and Configuration
6.1-Hadoop 2.7.3 Installation (28:57)
6.2-Hadoop 2.7.3 Configuration Files (10:37)
6.3-Hadoop Basic Commands (11:10)
5.3-Client Communication
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