1. The definition of
big data is a data collection characterized by large capacity, multiple types, fast speed, and low value density. Due to the large scale, scattered sources, and diverse formats of these data, new architectures, technologies, algorithms, and Analysis methods are used to collect, store and correlate these data in the hope of extracting hidden valuable information.
2. Features
(1) Volume
(2) Rapid (Variety)
(3) Variety (Velocity)
(4) Low value density (Value)
(5) Data value (Value)
3. The impact is
mainly in the way of thinking. Big data has completely subverted the traditional way of thinking:
(1) Full sample instead of sampling
(2) Efficiency instead of precision
(3) Correlation instead of causality
4. Application
1. Business process optimization
2. Monitoring physical condition
3. Intelligent medical research and development
4. Research and development of smart cars
5. Real-time control of traffic conditions and improvement of daily life
6. Financial transactions
7. Understanding and meeting customer needs