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Big data Write for Us
Big data means the data set is a huge complex in the software processing application. The data with many rows gives us great statistical power, while the data with many columns may result in false discovery. It may be large, with lots of information that we can reduce by making it into smaller parts. Analyzing this may be challenging because it includes occupying, storing, analyzing, searching, sharing, transferring, updating, privacy, and the data source.
The association of big data was based on some key concepts like variety, volume, and velocity. The analyzing of big data in sampling may be challenging, and the other idea is honesty, which means the quality of the data without enough investment to expertise the veracity of big data, so the volume and variety of data may cost and risks that may affect the organization capacity to form or capture the value from big data.
Big data uses predictive analysis and user behavior analysis for the analytic methods that capture the value from the big data and convert it into a data set. In big data, they may be quantities that will be huge, but it is not now because of the new data ecosystem. These data sets may help us find like-new prevent diseases, business trends, crimes, and many more medical practitioners, scientists, and teachers may have difficulty with these large data sets that include research on the internet, fintech, and analysis of healthcare.
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Guidelines- Big data Write for Us
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Search related terms
The terms associated with this topic are below:
- Data sets
- Data processing application software
- Statistical power
- False discovery rate
- Capturing data
- Data storage
- Information Privacy
- Predictive analysis
- Business informatics