Big Data Essay

Dakota State University

Big Data

Lori Harshbarger

Info Systems Planning & Management CIS 427

Cherie Noteboom

April 30, 2014

Big Data

According to Lisa Arthur, big data is as powerful as a tsunami, but it’s a deluge that can be controlled. In a positive way it provides business insights and 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 a company that represents a source of ongoing discovery and analysis. The data is too big, moves to fast, or doesn’t fit the structures of the database architecture. Daily, we create 2.5 quintillion bytes of data. In the last couple years we have created 90% of data we have in the world. This data comes from many places like climate information, social media sites, pictures or videos, purchase transaction records, cell phone GPS signals, and many more places. From the beginning of recorded time through 2003 users created 5 billion gigabytes of data. 2011, the same amount was created every couple days. 2013, we created that same amount every ten minutes. Some users prefer to constrain big data into digital inputs like web behavior and social network interactions. The data doesn’t exclude traditional data that is from product transaction information, financial records and interaction channels.

There are two types of data. They are unstructured and multi-structured. Unstructured data comes from information that isn’t organized or easily interpreted by traditional databases or data models. This is usually in text format.

SWOT Analysis

The SWOT analysis involves four steps. They are strength, weakness, opportunity, and threats. This will assist you to ident...

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...now use. Majority of the world’s data is unstructured. Big data technology lets us analyze and bring together data of different types. A common theme in the data is that it is diverse. It doesn’t fall 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 inconsistency if the process involves people. Big data is used to take unstructed data and extract ordered meaning. This is for consumption by users or it is structured input into an application.

Veracity refers to the messiness or trustworthiness of the data. There are many forms of big data quality and accuracy that make it very hard to control. An example of this would be hashtags, abbreviations, or typos. Technology now lets us to work with this type of data.

Summary