5 v of big data

5 V / characteristics 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.

3. 5 V’s Characteristics of V . Volume . Velocity Variety Veracity Value

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 e ver 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 a lso 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