Abstract
The adoption of Web 2.0 technologies, Internet of Things, etc. by individuals and organization has led to an explosion of data. As it stands, existing Relational Database Management Systems (RDBMSs) are incapable of handling this deluge of data. The term Big Data was coined to represent these vast, fast and complex datasets that regular RDBMSs could not handle. Special tools or frameworks were developed to deal with processing, managing and storing this big data. These tools are capable of functioning in distributed industry- standard environments thereby maintaining efficiency and effectiveness at a business level. Apache Hadoop is an example of such a framework. This report discusses big data, it origins, opportunities and challenges that it presents, big data analytics and the application of big data using existing big data tools or frameworks. It also discusses Apache Hadoop as a big data framework and provides a basic overview of this technology from technological and business perspectives.
Highlights
For the first time in the history of modern technology, do not computers change, but the information, which does, they process
They round up by saying that big data comes from a myriad of sources which include the following and more; “sensors, devices, video/audio, networks, log files, transactional applications, web, and social media much of it generated in real time and in a very large scale” IBM (2017)
Several uses cases documented by Moise & Pournaras (2017) indicate that use of frameworks like Hadoop have been integral in helping organizations engage in big data analytics
Summary
For the first time in the history of modern technology, do not computers change, but the information, which does, they process. According to Akamai (2017), several notable events have occurred from a technological perspective They include increased connection to the Internet all over the world i.e. increasing Internet penetration across the globe, the smart phone supplanting the personal computer as the primary computing device for most users, the use of social media as a primary method of communication and the disruption of said communication channel by authorities. It goes on188 To say that big data one or several of three critical characteristics namely; high variety, high volume or high velocity They round up by saying that big data comes from a myriad of sources which include the following and more; “sensors, devices, video/audio, networks, log files, transactional applications, web, and social media much of it generated in real time and in a very large scale” IBM (2017). This report will explore the advent of big data, the challenges that it created, and the tools that were developed to deal with the new paradigm and the problems that still exist in the big data sphere
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