Big data refers to the vast amounts of structured and unstructured data that businesses encounter daily, emphasizing the importance of data analysis in decision-making. It is characterized by its volume, velocity, and variety, with examples of its applications in various sectors such as banking and healthcare. The advancement of technologies like Hadoop enables organizations to leverage big data for improved efficiency and profitability.

1. PRESENTED BY;
NAUSHEEN HASAN

2. •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

3. USES OF BIG DATA
Banking
Education
Government
Healthcare
Manufacturing
Retail

4. THREE CHARACTERISTICS OF BIG DATA
3Vs
VOLUME
• DATA QUANTITY
VELOCITY
• DAT A SPEED
•
VARIETY
• DAT A TYPES

5. Volume (Data Quantity)
A typical PC
might had 10 GB
of storage in
2000.
Today, face book
ingests 500 TB of
new data everyday.

6. Velocity (Data Speed)
Machine to
machine
processes
exchange data
between billions
of devices
Online gaming
systems support
millions of
concurrent users ,
each producing
multiple inputs per
second.

7. Variety (Data Types)

10. 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 source
 Scalable- No need to
expand server size
 Automatic 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

11. 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.

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

13.  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