Big data has many interpretations and definitions across industries, academics, organizations, and individuals. It's a very broad and evolving field, and many organizations are adopting big data in some shape or form to supplement their existing analysis and business tools. Big data systems are primarily used to derive meaningful value and hidden patterns from data. They are also implemented to supplement different types of traditional workloads for economies of scale that lower costs. The three key sources of big data are people, organizations, and sensors.
Big data systems are characterized by a few attributes such as volume, velocity, a variety of data, and value; additional characteristics are veracity, validity, volatility, and visualization:
- Value: The ultimate objective of big data is to generate some business value and purpose for the company by doing all the analysis with a big data project.
- Volume of data: Big data system volumes can scale as per business needs to gigabytes...