From the recent trends reported in literature, it is evident that in today’s context, there is an exponential growth of data volume that are structured as well as unstructured (Big Data) from a variety of data sources, such as social media, e-mails, text documents, GPS data, sensor data, surveillance data, etc. We can, therefore, say that Big Data is characterized by structured, semi-structured, and unstructured data from digital and non-digital resources. The main challenge is to effectively use the Big Data which is the data source for efficient decision- making by using appropriate technology for data mining. Based on our literature study, we found that Big Data’s present difficulties are due to the following general features of business.
High data Velocity – information streams from distinct sources and locations quickly and continuously updated.
Data Variety – structured, semi-structured and unstructured data storage.
Volume of data – a large number of datasets of various terabyte or petabyte sizes.
Complexity information – data organized at various sites or information centers.
Big Data analytics, the process by which Big Data sets comprising a range of kinds of data are examined by companies. By using Big Data
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