Keen Technologies have excellent Hadoop instructors who have real time experience plus expert orientation in handling Hadoop Technology. Enroll with us and make yourself as a Hadoop professional.
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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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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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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