Abstract
Big Data is comprised systems, to remain competitive by techniques emerging due to Big Data. Big Data includes structured data, semi-structured and unstructured. Structured data are those data formatted for use in a database management system. Semi-structured and unstructured data include all types of unformatted data including multimedia and social media content. Among practitioners and applied researchers, the reaction to data available through blogs, Twitter, Facebook, or other social media can be described as a “data rush” promising new insights about consumers' choices and behavior and many other issues. In the past Big Data has been used just by very large organizations, governments and large enterprises that have the ability to create its own infrastructure for hosting and mining large amounts of data. This chapter will show the requirements for the Big Data environments to be protected using the same rigorous security strategies applied to traditional database systems.
Top“Big Data” Term
“Big Data” is a term that has quickly achieved widespread use among technologists, researchers, the media and politicians. Perhaps due to the speed of dissemination the use of the term has been rather nebulous in nature. The concept of Big Data can be framed by one of three perspectives. The first is a response to the technology problems associated with storing, securing and analyzing the ever-increasing volumes of data being gathered by organizations. This includes a range of technical innovations, such as new types of database and ‘cloud’ storage that enable forms of analysis that would not previously have been cost effective. The second perspective focuses on the commercial value that can be added to organizations through generating more effective insights from this data. This has emerged through a combination of better technology and greater willingness by consumers to share personal information through web services. The third perspective considers the wider societal impacts of Big Data, particularly the implications for individual privacy, and the effect on regulation and guidelines for ethical commercial use of this data. We now consider each of these perspectives on Big Data in more detail.
Key Terms in this Chapter
Velocity: Refers to the challenges in Downloaded from accessing stored data quickly enough for them to be useful.
Big Data: Refers to data sets that are too big to be handled by regular storage and processing infrastructures.
Structured Data: Data that resides in fixed fields within a record or file.
Unstructured Data: Refers to information that either does not have a pre-defined data model or is not organized in a pre-defined manner.
Variety: Refers to the type of information being stored. Previously, data stored tended to be highly structured in nature.