For the most part, structured data refers to information with a high degree of organization, such that inclusion in a relational database is continuous and easily searchable using simple and straightforward data algorithms search engines or other search operations; while unstructured data is essentially the opposite. The lack of structure makes compiling a task that takes time and energy. It would be beneficial for a company across all business layers to find a data analytics mechanism to reduce the costs that unstructured data adds to the organization. Unstructured usually refers to information that does not reside in a traditional database of rows and columns. As we might expect, this is the opposite of structured data. Data stored in the fields of a database. Unstructured data files often include text and multimedia content. Examples include email messages, word processing documents, videos, photos, audio files, presentations, web pages, and many other types of business documents. Keep in mind that these types of files may have an internal structure and are still considered unstructured because the data they contain...