Overview Big Data

  

Overview Big Data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis and visualization. The trend to larger data sets is due to the additional information derivable from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of data, allowing correlations to be found to delineate business trends, determine quality of research, prevent diseases, link legal citations, combat crime, and determine real-time roadway traffic conditions. Big Data analytics is a topic fraught with both positive and negative potential. Big Data is defined not just by the amount of information involved but also its variety and complexity, as well as the speed with which it must be analyzed or delivered. The amount of data being produced is already incredibly great, and current developments suggest that this rate will only increase in the near future. Improved service should result as companies better understand their customers, but it is also possible that this data will create privacy problems. Thus, Big Data is important not only to students who hope to gain employment using these techniques and those who plan to use it for legitimate research, but also for everyone who will be living and working in the 21st Century. Assessment Instructions Perform research on Big Data use cases via the Internet and Purdue University Global library. Use the article at the following website as a starting point for your research: Big Data Use Cases Select one use case from the list below to be the topic of your paper. 360° View of the Customer Fraud Prevention Security Intelligence Data Warehouse Offload Price Optimization Operational Efficiency Recommendation Engines Social Media Analysis and Response Preventive Maintenance and Support Internet-of-Things (IoT) Write a 3-page expository paper, not including title page or references, that addresses the following: Describe the use case and how it makes use of Big Data. Explain the V’s of Big Data within the context of your chosen use case. Volume Velocity Variety Veracity Use cases website: https://www.datamation.com/big-data/big-data-use-cases/

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