Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields offer greater statistical power, while data with higher complexity may lead to a higher false discovery rate.
The term 'Big Data' has been in use since the early 1990s. Although it is not exactly known who first used the term, most people credit John R. Mashey (who at the time worked at Silicon Graphics) for making the term popular.
Real-time big data analytics is an iterative process involving multiple tools and systems. Smith says that it's helpful to divide the process into five phases: data distillation, model development, validation and deployment, real-time scoring, and model refresh.
There is no uniform state, federal, or international law that governs big data. However, there are a series of federal statutes – e.g., HIPAA, FERPA, FCRA, FTCA – that were promulgated to govern privacy.
What is big data collection? Big data collection is the methodical approach to gathering and measuring massive amounts of information from a variety of sources to capture a complete and accurate picture of an enterprise's operations, derive insights and make critical business decisions.
