Dakota State UniversityBig DataLori HarshbargerInfo Systems Planning & Management CIS 427Cherie NoteboomApril 30, 2014Big DataAccording to Lisa Arthur, Big Data is as powerful as a tsunami, but it is a flood that can be control. Positively, this provides insight and business value. Big Data is data that exceeds the processing capacity of conventional database systems. It is a collection of data from traditional and digital sources inside and outside an enterprise that represents a source of continuous discovery and analysis. The data is too large, changing too quickly, or does not fit the structures of the database architecture. Every day we create 2.5 quintillion bytes of data. In the last two years, we have created 90% of the data we have in the world. This data comes from many places like climate information, social media sites, photos or videos, purchase transaction records, cell phone GPS signals and many other places. From the beginning of recording until 2003, users created 5 billion gigabytes of data. In 2011, the same amount was created every two days. In 2013, we were creating this same amount every ten minutes. Some users prefer to limit Big Data to numerical inputs such as web behavior and social media interactions. The data does not exclude traditional data from product transaction information, financial records and interaction channels. There are two types of data. They are unstructured and multistructured. Unstructured data comes from information that is not organized or easily interpreted by traditional databases or data models. This is usually in text format. SWOT Analysis SWOT analysis involves four steps. These are strength, weakness, opportunity and threats. This will help you identify which medium of paper you are using now. The majority of the world's data is unstructured. Big Data technology allows us to analyze and gather data of different types. A common theme in the data is their diversity. It does not fit into a relational structure. Different browsers send different data; users withhold information, different forms of software versions or vendors to communicate with you. There will be many errors and inconsistencies if the process involves people. Big Data is used to mine unstructured data and extract ordered meaning from it. This is intended for consumption by users or it is structured input into an application. Veracity refers to the disorder or reliability of data. There are many forms of big data quality and accuracy that make it very difficult to control. An example of this would be hashtags, abbreviations or typos. Technology now allows us to work with this type of data.Summary