Important 12 characteristics and properties of big data which you need to understand in order to meet the challenges and risks of big data. Here we have moved from 10v’s of big data to 12v’s of big data.
Here is a further explanation of 12v’s of big data:
1: Volume (Size of Data)
Amount of Collected and stored data i.e
- Terabytes
- Exabytes
- Zettabytes
2: Velocity (Speed of Data)
The speed at which data is generated i.e
- Batch
- Micro Batch
- Streaming
3: Value (Importance of Data)
The speed at which data is generated i.e
- Batch
- Micro Batch
- Streaming
4: Variety (Types of Data)
Different types of Data i.e
- Structured
- Semi-Structured
- Unstructured Data
5: Veracity (Quality of Data)
The degree to which data can be trusted i.e
- Trustworthiness
- Authenticity
- Integrity
6: Validity (Authenticity of Data)
Correctness of data to extract result i.e
- Trustworthiness
- Authenticity
- Integrity
7: Volatility (Durability of Data)
How long stored data is useful to the user i.e
- History Data
- Most Updated Data
- In-Memory Data
8: Visualization (Presentation of Data)
Presenting data for decision making i.e
- Report
- Dashboards
- Info-graphics
9: Virality (Broadcasting of Data)
Rate at which the data is broadcast i.e
- Data Spreads Rate
- Data Received Rate
- Data Repeated Rate
10: Viscosity (Complexity of Data)
How difficult is the data to work with i.e
- Interpretation
- Transformation
- Integration
11: Variability (Different Types of Data)
The data which keeps on changing constantly i.e
- Dynamic
- Evolving Behavior
- Noisy Data
12: Venue (Platforms of Data)
Data arrived from different platforms
- Private/Public Cloud
- On-Premises
- Personal System
