1, Can you give an example of data that you think it could be considered as “Big Data”?
Firstly, I think I am the last one to reply to Aj. Saranath’s question and all of my friends can reply with the good answer. Then I have no anything answer haha ^^ (just kidding kha)
As several researchers define about “Big Data” deffinition, for eaample, Big Data is a greate amount of data that traditional data management techniques cannot manage and process due to the complexity and size of this data. Below are some examples of big data data:
– Business transaction (Oil industry, Retail industry, Airline ticket booking etc.)
– Social media (Facebook has 500+terabytes in everyday, twitter, instragram, line etc.) This data is mainly generated in terms of photo and video uploads, message exchanges, putting comments etc.
– Bank, Finalcial service (New York Stock Exchange generates about one terabyte of new trade data per day)
– Health service (Electronic Medical Record (EMR))
2. What are the characteristics of the data that fit into 5Vs, or 7Vs, or 10Vs of Big data characteristics?
—- 5Vs
1. Volume : the vast amounts of data generated every second.
2. Velocity : the speed in which data is accessible
3. Variety the different types of data we can now use, for example, text, picture, video etc.
4. Veracity : the messiness or trustworthiness of the data.
5. Value : the valuable information
—- 7Vs
6. Variability : the unstable of data (is different from variety) Ex. A coffee shop may offer 6 different blends of coffee, but if you get the same blend every day and it tastes different every day, that is variability
7. Visualization : using charts and graphs to visualize large amounts of complex data.
—-10Vs
8. Validity : how accurate and correct the data is for its intended use
9. Vulnerability : all information are sensitive, then need security to protect data
10. Volatility : the life duration, that for how long time data is valid and for how long time it should be stored
