Answer» - VOLUME: A considerable amount of data stored in data warehouses reflects the volume. The data may reach random HEIGHTS; these large volumes of data need to be examined and processed. Which may exist up to or more than terabytes and petabytes.
- Velocity: Velocity basically introduces the pace at which data is being produced in real-time. To give a simple example for recognition, imagine the rate at which Facebook, Instagram, or Twitter posts are generated per second, an hour or more.
- Variety: Big Data comprises structured, unstructured, and semi-structured data collected from VARIED sources. This different variety of data requires very different and specific analyzing and processing techniques with unique and appropriate algorithms.
- Veracity: Data veracity basically relates to how reliable the data is, or in a fundamental way, we can DEFINE it as the quality of the data analyzed.
- Value: Raw data is of no use or meaning but once CONVERTED into something valuable. We can extract helpful information.
|
