Hadoop is an open-source framework
that allows to store and process big data in
A distributed environment across
clusters of computers using simple
Programming models. It is designed
to scale up from single servers to thousands
Of machines, each offering local
computation and storage.
This brief tutorial provides a
quick introduction to Big Data, Map Reduce
Algorithm, and Hadoop Distributed
File System.
Big Data is a collection of large
datasets that cannot be processed using
traditional computing techniques.
It is not a single technique or a tool, rather it
involves many areas of business and technology.
Big data involves the data produced
by different devices and applications. Given
Below are some of the fields that
come under the umbrella of Big Data.
Black Box Data: It is a component
of helicopter, airplanes, and jets, etc.
It captures voices of the flight
crew, recordings of microphones and
Earphones and the performance
information of the aircraft.
Social Media Data: Social media
such as Facebook and Twitter hold
Information and the views posted by
millions of people across the globe.
Stock Exchange Data: The stock
exchange data holds information about
the ‘buy’ and ‘sell’ decisions made
on a share of different companies made
by the customers.
Power Grid Data: The power grid
data holds information consumed by a
Particular node with respect to a
base station.
Transport Data: Transport data
includes model, capacity, distance and
Availability of a vehicle.
Search Engine Data: Search
engines retrieve lots of data from different
Databases.
Thus Big Data includes huge volume,
high velocity, and extensible variety of
Data. The data in it will be of
three types.
Structured data: Relational data.
Semi Structured data: XML data.
Unstructured data: Word, PDF,
Text, Media Logs.
Benefits of Big Data
Using the information kept in the
social network like Facebook, the
Marketing agencies are learning
about the response for their campaigns,
Promotions and other advertising
mediums.
using the information in the
social media like preferences and product
Perception of their consumers,
product companies and retail organizations
Are planning their production.
using the data regarding the previous
medical history of patients,
Hospitals are providing better and quick
service.
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