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5 v of big data
1. BIG DATA 5 V’s/Characteristics
Big data refer to massive data collected from
variety of operational sources for business
Need to reveal optimize decision making in
business context.
2. ● E-business and social media create 2.5 Exabytes of data per day.
● Data is store for analysis,to reveal hidden correlation and pattern.
4. ● Refer to the vast amount of data generated every second.
● Data generated from emails,social networking sites,photos,videos,sensor
data etc.
● Data Generated is in zettabytes.
● This increasing data sets too large to store and analysis
using traditional database.
● Now with big data Technology we can store and use
dataset with help of distributed system. Volume
5. ● Refer to the speed at which new data is generated.
● Example the speed at which credit card transaction are checked for
detecting the fraudulent activities.
● Big data technology allow us to analysis the data without
ever putting into database.
Velocity
6. ● Refer to the different type of data we can use.
● In past we use to deal with only structure data which nearly fits in the
structure table databases like MYSQL.
● Now 80% of the data is unstructured and cant be put in table easily .
● With big data we can handle not only structure data but
also accomodate unstructured data and semi-structure
data .
Variety
7. ● Refer to the uncertainty of data.
● Data is present in many form so the quality and accuracy is less
controllable.
● But Big data allow us to do handle the uncertainty in huge
amount of data produced
Veracity
8. ● Most important V.
● It ensure that huge data is available in the business context.
● Collect the big data analysis it and make it available in the test cases
required for business.
Value
9. ● Refer to the vast amount of data generated every second.
● Data generated from emails,social networking sites,photos,videos,sensor
data etc.
● Data Generated is in zettabytes.
● This increasing data sets too large to store and analysis
using traditional database.
● Now with big data Technology we can store and use
dataset with help of distributed system. Volume