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.
● E-business and social media create 2.5 Exabytes of data per day.
● Data is store for analysis,to reveal hidden correlation and pattern.
5 V’s
Characteristics of V .
➔ Volume.
➔ Velocity
➔ Variety
➔ Veracity
➔ Value
● 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
● 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
● 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
● 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
● 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
● 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 v of big data

  • 1.
    BIG DATA 5V’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 andsocial media create 2.5 Exabytes of data per day. ● Data is store for analysis,to reveal hidden correlation and pattern.
  • 3.
    5 V’s Characteristics ofV . ➔ Volume. ➔ Velocity ➔ Variety ➔ Veracity ➔ Value
  • 4.
    ● Refer tothe 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 tothe 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 tothe 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 tothe 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 importantV. ● 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 tothe 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