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Introduction to Hadoop
Introduction
You, this course and Us (1:17)
Why is Big Data a Big Deal
The Big Data Paradigm (14:20)
Serial vs Distributed Computing (8:37)
What is Hadoop? (7:25)
HDFS or the Hadoop Distributed File System (11:01)
MapReduce Introduced (11:39)
YARN or Yet Another Resource Negotiator (4:00)
Installing Hadoop in a Local Environment
Hadoop Install Modes (8:32)
Setup a Virtual Linux Instance (For Windows users) (15:31)
Hadoop Standalone mode Install (9:33)
Hadoop Pseudo-Distributed mode Install (14:25)
The MapReduce "Hello World"
The basic philosophy underlying MapReduce (8:49)
MapReduce - Visualized And Explained (9:03)
MapReduce - Digging a little deeper at every step (10:21)
"Hello World" in MapReduce (10:29)
The Mapper (9:48)
The Reducer (7:46)
The Job (12:28)
Run a MapReduce Job
Get comfortable with HDFS (10:59)
Run your first MapReduce Job (14:30)
HDFS and Yarn
HDFS - Protecting against data loss using replication (15:32)
HDFS - Name nodes and why they're critical (6:48)
HDFS - Checkpointing to backup name node information (11:10)
Yarn - Basic components (8:33)
Yarn - Submitting a job to Yarn (13:10)
Yarn - Plug in scheduling policies (14:21)
Yarn - Configure the scheduler (12:26)
Setting up a Hadoop Cluster
Manually configuring a Hadoop cluster (Linux VMs) (13:50)
Getting started with Amazon Web Servicies (6:25)
Start a Hadoop Cluster with Cloudera Manager on AWS (13:04)
Yarn - Configure the scheduler
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