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HADOOP ONLINE TRAINING
Training Program
By
KEEN IT
http://www.keentechnologies.com
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About Us
Keen IT Technologies Pvt Ltd. is one of the leading IT training
Institutions, located in Hyderabad with the objective of providing a Training
services for various requirements in IT industry. We deliver corporate
trainings as per the student requirements colonize and innovator of global
eLearning solutions and providing technology enabled online training for
individuals and corporate educators. We have highly talented faculty in
their respective courses. We furnish with online training given us an edge
on numerous Technologies.
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Introduction to Hadoop
Hadoop is a complete, open-source ecosystem for
capturing, organizing, storing, searching, sharing, analyzing, visualizing,
and otherwise processing disparate data sources (structured, semi-
structured, and unstructured) in a cluster of commodity computers.
Hadoop's ability to store and analyze large data sets in parallel on a large
cluster of computers yields exceptional performance, while the use of
commodity hardware results in a remarkably low cost. In fact, Hadoop
clusters often cost 50 to 100 times less on a per-terabyte basis than
today's typical data warehouse.
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Why Hadoop (and Why Now)
Organizations across all industries are
confronting the same challenge: data is arriving faster than existing data
warehousing platforms are able to absorb and analyze it. The migration to
online channels, for example, is driving unprecedented volumes of
transaction and click stream data, which are, in turn, driving up the cost of
data warehouses, ETL processing, and analytics.
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Hadoop Course Out Line
Distributed computing
Parallel computing
Concurrency
Cloud Computing
Computing Past, Present and Future
Hadoop Streaming
Distributing Debug Scripts
Getting Started With Eclipse
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Hadoop Stack
CAP Theorem
Databases: Key Value, Document, Graph
Hive and Pig
HDFS
Lab 1: Hadoop Hands-on
Installing Hadoop Single Node cluster(CDH4)
Understanding Hadoop configuration files
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Map Reduce Introduction
Functional – Concept of Map and Reduce
Functional – Ordering, Concurrency, No Lock, Concurrency
Functional – Shuffling, Reducing, Key, Concurrency
Map Reduce Execution framework
Map Reduce Practitioners and Combiners
Map Reduce and role of distributed file system
Role of Key and Pairs
Hadoop Data Types
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Lab 2:
Map Reduce Exercises
Understanding Sample Map Reduce code
Executing Map Reduce code
HDFS Introduction
Architecture
File System
Data replication and Node
Name Node
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Lab 3: Hive Hands ON
Installation, Setup and Exercises
PIG
Rationale
Pig Latin
Input, Output and Relational Operators
User Defined Functions
Analyzing and designing using Pig Latin
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Lab 4: Pig Hands on
Installation and Setup
Executing Pig Latin scripts on File system
Executing Pig Latin scripts on HDFS
Writing custom User Defined Functions
Flume
What is Flume? And How it works ?
How it works ? And An example
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What is Oozie? And How it works?
Introduction to Zoo Keeper
Cluster Planning and Cloud Manager Set-up
Hadoop Multi node Cluster Setup
Installation and Configuration
Running Map Reduce Jobs on Multi Node cluster
Working with Large data sets
Steps involved in analyzing large data
Lab walk through
High Availability Fed ration, Yarn and Security
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If you require any further information please do not hesitate to
contact us
please feel free to mail us for demo session or call @ 9989754807
contact: [email protected]
website url: http://www.keentechnologies.com
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THANK YOU
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