Big Data Analytics Report

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Added on  2019/09/22

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AI Summary
This report delves into the world of big data analytics, focusing on the comparison of two prominent platforms: Tableau and TIBCO. It begins by establishing the context of big data's increasing importance and the associated challenges related to data security, privacy, and ethical considerations. The report then explores the problem statement, highlighting the potential for misuse of information and the need for ethical data handling practices. Data sources and management are discussed, emphasizing the characteristics of big data (volume, velocity, variety) and the role of tools like Hadoop. A SWOT analysis of Tableau and TIBCO is presented, comparing their strengths and weaknesses in terms of data manipulation, visualization, and back-end/front-end analysis capabilities. The report also addresses threats and solutions related to big data, including privacy concerns and the limitations of relying solely on technologies like Hadoop. Finally, the conclusion summarizes the key findings, emphasizing the importance of adapting tools to user needs and the ongoing evolution of big data technologies. Part B provides a summary of external data sources, the functionalities of Tableau and TIBCO, and the benefits of big data analysis, concluding with the growing importance of cybersecurity in the context of big data management.
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