Week 2 research paper -836 spring 2021

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  1. The recent advances in information and communication technology (ICT) has promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing. Data analytics in massive manufacturing data can extract huge business values while it can also result in research challenges due to the heterogeneous data types, enormous volume and real-time velocity of manufacturing data.
    For this assignment, you are required to research the benefits as well as the challenges associated with Big Data Analytics for Manufacturing Internet of Things.

    Your paper should meet these requirements: 

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    • Be approximately four to six pages in length, not including the required cover page and reference page.
    • Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
    • Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
    • Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.
  2. By submitting this paper, you agree: (1) that you are submitting your paper to be used and stored as part of the SafeAssign™ services in accordance with the Blackboard Privacy Policy; (2) that your institution may use your paper in accordance with your institution’s policies; and (3) that your use of SafeAssign will be without recourse against Blackboard Inc. and its affiliates.