Hadoop free videos and free material uploaded by Revanth Technologies Training Institute staff .
INTRODUCTION
What is Hadoop?
History of Hadoop
Building Blocks – Hadoop
Eco-System
Who is behind Hadoop?
What Hadoop is good for and why it
is Good
HDFS
Configuring HDFS
Interacting With HDFS
HDFS Permissions and Security
Additional HDFS Tasks
HDFS Overview and Architecture
HDFS Installation
Hadoop File System Shell
File System Java API
MAPREDUCE
Map/Reduce Overview and
Architecture
Installation
Developing Map/Red Jobs
Input and Output Formats
Job Configuration
Job Submission
Practicing Map Reduce Programs
(atleast 10 Map Reduce Algorithms )
Getting Started With Eclipse IDE
Configuring Hadoop API on Eclipse
IDE
Connecting Eclipse IDE to HDFS
Hadoop Streaming
Advanced MapReduce Features
Custom Data Types
Input Formats
Output Formats
Partitioning Data
Reporting Custom Metrics
Distributing Auxiliary Job Data
Distributing Debug Scripts
Using Yahoo Web Services
Pig
Pig Overview
Installation
Pig Latin
Pig with HDFS
Hive
Hive Overview
Installation
Hive QL
Hive Unstructured Data Analyzation
Hive Semistructured Data
Analyzation
HBase
HBase Overview and Architecture
HBase Installation
HBase Shell
CRUD operations
Scanning and Batching
Filters
HBase Key Design
ZooKeeper
Zoo Keeper Overview
Installation
Server Mantainace
Sqoop
Sqoop Overview
Installation
Imports and Exports
CONFIGURATION
Basic Setup
Important Directories
Selecting Machines
Cluster Configurations
Small Clusters: 2-10 Nodes
Medium Clusters: 10-40 Nodes
Large Clusters: Multiple Racks
Integrations
Putting it all together
Distributed installations
Best Practices
Hadoop is a free, Java based programming framework that
supports the processing of large data sets in a distributed computing
environment. Hadoop is developed to scale up from a single server to thousands
of systems, with a very high degree of fault tolerance. With the help of Hadoop
it is easy to run applications on systems with thousands of nodes involving thousands
of terabytes. The main advantage of Hadoop is that businesses and organizations
can now find value in data that was recently considered useless.
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