Big data is more extensive, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can't manage them. But these massive volumes of data can be used to address business problems you wouldn't have been able to tackle before. (Oracle.com, 2014) Types of Big Data 1. Structured Data Any data that can be stored, accessed, and processed in a fixed format is called structured data. 2. Unstructured Data Any data with a form or structure unknown is labelled as unstructured data. A typical example of unstructured data is a heterogeneous source of data that contains a combination of simple text files, images, videos, etc. 3. Semi-Structured data Semi-structured data may contain data in both types. We can see semi-structured data as structured in form, b ut it is not defined explicitly in relational DBMS with, e.g., a table description. Semi-structured data, for e