| Summary: | We constantly produce lots of data everyday via social media, public transport, global positioning system (GPS)), satellite and healthcare applications etc. Now a day with a combination of clouds, endless networks of servers and powerful algorithms businesses can analyze over a million pieces of data in a minute. These large volumes of data beyond the range of Exabyte (EB) is called Big Data. Data producing volumes exceeds the limit of current storage systems. Considering the large amount of volume and the speed in which, big data is produced it is also possible that the challenges are bigger as well especially in its quality. Therefore, the objective of this paper to review of data quality of big data. A review of related literature has been conducted for this research. In this paper, we will be discussing about big data, its characteristics and the issues and challenges that data scientist should be looking at before analyzing the data. Issues and challenges of technical and non-technical dimensions are summarized based on literature conducted.
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