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2. Introduction:
• Big data is a concept to drive huge amount of data growth
for bussiness.
• Big data it is also describe heigh volume of data,velocity
,and variety Need to new procedure and technologies to
catch information ,store
data,analyzingdata,sharing,searching,updating,visualisation
and source.
• Big data is faster to communicate with distrubuted
database.
.

3. Characteristics of Big data:

4. Big data sources:
•Media : Social media platformsp like facebook,twitter,youtube,linkedin
etc.
• images,videos,podcast,audio.
•Cloud : Public,private or third party cloud platforms.
•Website :data publicity available on website like amazon,flipcartetc.
•Bank:maximum transection is online mode so data will be generated and
stored on server and this data is contributed to big data.
•Instruments:RFID(ratio frequency identification) reader,security
camera,are the constantly generate data this are also contributed to Big data.
•Stock Market: To generate data on terabytes.

5. Applecation of big data:
Retailer and consumer.
•Event and behaviour base targeting.
•Supply chain magmt and analytics.
•Compaign mgmt customer loyality programs.
Telecommunication:
•Call Detail Record(CDR) analysis.
•Customer churn prevention.
•Mobile and devices user location analysis.
Ecommerce &customer services:
•Recommandation engine using predictive analytics.
•Event analytics.
•Right offer at right time.
•Next offeror next best action.
•Web and digital media:
•Targeting audience,analysis ,forecasting and optimisation.
•Compaign management and loyality programs.

6. Finances and fraud services:
•Risk management and analysis.
•Fraud detection and security analytics.
•Credit,debit,coupans risk analysis.

7. Big data challenges:
•Dealing with data growth. ...
•Generating insights in a timely manner. ...
•Recruiting and retaining big data talent. ...
•Integrating disparate data sources. ...
•Validating data. ...
•Securing big data. ...
•Organizational resistance.

8. Advantages of big data:

10. Contact us:
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