Big data is a field that treats ways to analyze, systematically extract information from, or otherwise, deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or
columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, tr ansf e r, v isua li z a tion, que r y ing, upda ting, information privacy, and data source. Big data was originally associated with three key concepts: volume, variety, and velocity.
When we handle big data, we may not sample but simply observe and track what happens. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value. Hence proved, candidates of this certification will have thor hands full with Big Data Fundamentals, Big Data Sources, Data Mining: Concepts and Tools, Big Data Technologies.

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