Keen IT Technologies offers an online training program for Hadoop, focusing on capturing and processing large data sets efficiently using open-source technology. The training covers key concepts such as distributed and parallel computing, MapReduce, Hive, and Pig, along with practical labs for hands-on experience. With a commitment to addressing data analysis challenges, the program provides an affordable alternative to traditional data warehousing solutions.

1. HADOOP ONLINE TRAINING
Training Program
By
KEEN IT
http://www.keentechnologies.com
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2. 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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3. 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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4. 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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5. 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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6. 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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7. 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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8. 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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9. 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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10. 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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11. 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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12. 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: trainings@keentechnologies.com
website url: http://www.keentechnologies.com
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13. THANK YOU
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