Upload
nausheen-hasan
View
80
Download
0
Embed Size (px)
Citation preview
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