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Big Data: Architectures and Data Analytics July 18, 2019 Student ID ___ First Name ___ Last Name ___ The exam is open book and lasts 2 hours.Part I Answer to the following questions. There is only
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Big data processing involves the collection, storage, and analysis of large and complex data sets that traditional data processing applications are inadequate to handle.
Entities that handle large data sets, such as businesses, research organizations, and governmental agencies, may be required to file big data processing reports, depending on the regulatory requirements in their jurisdiction.
To fill out big data processing documentation, one needs to gather relevant data sources, utilize specified formats for reporting, and ensure compliance with regulations, often requiring specialized software or platforms.
The purpose of big data processing is to derive meaningful insights, enhance decision-making, improve operational efficiency, and support predictive analytics.
Information that must be reported typically includes data volume, types of data processed, data sources, processing techniques used, and results of the analysis.
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