Saturday, August 10, 2019

Data Mining and Big Data Assignment Example | Topics and Well Written Essays - 500 words

Data Mining and Big Data - Assignment Example It is very essential to note that a deep scrutiny of real world commercial implementation of data, makes the International Business Machines (IBM) come out as one of organizations with a high quality ‘Big data’ hub. At this company’s ‘Big data’ hub, large volumes of information are handled, which are actually very hard to process in a traditional database. The data hub is composed is of data mining engines integrated to aid in easy handling of data. The integration of data mining in IBM has made very easy and fast for the company to manage and process data in its globally placed (using cloud technology) immense data warehouses. Thus, this makes it clear that although the data is large, it is realistically the simplest and easily tolerable data volumes in data mining. In this sense, I hereby agree that the term ‘Big data’ is actually an over-hyped buzzword for data mining. Microsoft Incorporation is one of the most successful software companies globally. Due to the large data volumes handled at the company, the subject of ‘Big data’ in the company has also been a subject of concern. At this company, issues related to ‘Big data’ have usually been experienced in scenarios where the organization’s traditional database system is exhausted with the ever-increasing data volumes. This includes operating system files, cache files, customer data and management information system data. However, through the adoption of data mining engines, Microsoft Incorporation has smoothly been handling all the large amounts of data that it shares globally with clients and partners. Therefore, this case study further makes me agree with the statement. Thirdly, Facebook Incorporation is a social network website that manages online communication for over a billion global users a month. These users share messages, photos, poking, placing status and storing personal data. In essence, the company handles very immense and

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