hadoop big data overview at s & m consultant

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Hadoop :-- Big Data Overview

What Is Hadoop?

Hadoop is an open source software framework used to divide a large amount data known as Big Data into clusters of computers to make the work easy to be done. It is a extension of Java framework known as Java scalable framework.


What is Big Data?

The first question comes to mind is what is Big Data?


What is Big Data?

Big data is the most important part of Hadoop distributed file system that defines the work and responsibilities of the open source framework.


What is Big Data?

As the advent of technology increasing day by day the devices, Communications, responsibilities of mankind increasing accordingly


What is Big Data?

As the work flow increasing every day we are creating all most 2.5 quintillion bytes of data of different types, high volume and cost effective.


What is Big Data?

In order to arrange this data in one system to make the job easy Hadoop distributed system invented in which Big Data management is the main motto.


What is Big Data?

SO, Big Data mean really a large amount of data consisting of different languages

images structures which can be divided into clusters and

not at all manageable in a traditional computing system.

What is Big Data?

Otherwise in simple words we can say that Big Data is a subject with various subjects, tools, methods and techniques.


Description of Big Data

Big data can be described with following definition

Volume

Variety

Velocity

Variability

Veracity


Volume

The quantity of stored data with a big size that determines whether the potentiality of data can be really be considered as Big Data or not.


Variety

The type and various languages used in data to describe the different modules of data effectively


Velocity

This is the context where we can check the speed of data generation and processing to satisfy the work flow of development and growth


Variability

Arrangement of data set in a proper manner helps to understand the flow easily otherwise it hampers processes to handle.


Big Data Technologies:-

Now a day most of the Big organizations working through Big Data technologies because it enhances



more decision making, greater operational efficiencies, cost effective and reduces the risk of business



because we can study the whole business system in one framework in which we can identify the demerits and merits from different sites.



Big Data technology divided in to 2 types

Operational Big Data

Analytical Big Data


Operational Big Data :-

Operational Big Data incudes MongoDB that provides the capabilities operationally to store data , in a interactive real time environment.


Operational Big Data :-

This makes the operational Big Data responsibilities much easier, cost effective and faster.


Analytical Big Data

includes Massively Parallel Processing (MPP) Database system with MapReduce that provides the analytical ability to analyse all most all data sets.


Challenges Of Big Data

Data Capturing

Storage of Data


Easy Searching

Sharing in Social Media


Data transfer from one system to another

Analysis of Data

Easy Presentation of Data


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