PRESENTED BY;

NAUSHEEN HASAN

BIG DATA

•BIG DATA IS A TERM OF THAT DESCRIBES THE LARGE VOLUME OF DATA- BOTH STRUCTURED

AND UNSTRUCTURED- THAT INUNDATES A BUSINESS ON DAY- TO- DAY BASIS.

•BUT IT’S NOT THE AMOUNT OF DATA THAT’S IMPORTANT . IT’S WHAT ORGANIZATION DO

WITH THE DATA THAT MATTER. BIG DATA CAN BE ANALYZED FOR INSIGHTS THAT LEAD TO

BETTER DECISIONS AND STRATEGIC BUSINESS MOVES.

INTRODUCTION

USES OF BIG DATABankingEducationGovernmentHealthcareManufacturingRetail

THREE CHARACTERISTICS OF BIG DATA3Vs

VOLUME

• DATA QUANTITY

VELOCITY

• DAT A SPEED

•

Volume (Data Quantity)

A typical PC might had 10 GB of storage in 2000.Today, face book ingests 500 TB of new data everyday.

Velocity (Data Speed)

Machine to machine

processes exchange

data between

billions of devices

Online gaming systems support millions

of concurr

ent users , each

producing

multiple inputs

per second.

Infrastructure and sensors

generate massive

log data between millions

of devices

Variety (Data Types)

BIG DATA ARE JUST NOT NUMBERS, DATES AND

STRINGS. BIG DATA IS ALSO 3D DATA,

AUDIO AND VIDEO, INCLUDING LOG FILES AND

SOCIAL MEDIA.

HADOOP NoSQL

Hadoop maintains & secures the data by storing and keeping its replica.

It is focused on scaling according to data usage.

It can detect & delete the failed task and as well as failed transaction of data.

It recovers data & automatically restore the data.

Open sourceScalable- No need to expand

server sizeAutomatic Repair- Perform

automatic repair of failed task data.

Multiple storage system –Data can be store as key value.

Maintenance, Setup issue & No back up are the dis advantages of NoSQL.

BIG DATA Tools

Benefits of BIG DATA

Our newest research finds that organizations are using big data to target customer-centric outcomes.

Big data is already an important part of the $64 billion database& data analytics market

Fast forward to the present and technologies like hadoop gives you the scale & flexibility to store data.

IBM Bigdata Analytics. ... HP Bigdata. ... SAP Bigdata Analytics. ... Microsoft Bigdata. ... Oracle Bigdata Analytics. ...

The availability of Big Data, low-cost commodity hardware, and new information management and analytic software have produced a unique moment in the history of data analysis.

They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability.

The Age of Big Data is here, and these are truly revolutionary times if both business and technology professionals continue to work together .

CONCLUSION