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Classify each example in the correct section of the report writing process.(4 points)Put responses in the correct input to answer the question. Select a response, navigate to the desired input and insert the response. Responses can be selected and inserted using the space bar, enter key, left mouse button or touchpad. Responses can also be moved by dragging with a mouse.Introduction Methods Results ConclusionsWe will use a variety of online sources such as journals, websites, and tech articles to research how big data will change as the IoT grows expansively.With the zettabytes of data that are being collectively generated across the IoT, big data infrastructure needs to continue to develop powerful analytic tools that can make use of those massive amounts of data. Because less than 1 percent of raw, unstructured data is even used by organizations, big data needs to continue to improve its ability to sort, organize, process, and analyze large datasets. Companies can increase their efficiency and effectiveness by utilizing big data analytic tools that help them make smart business decisions.Most organizations (97 percent) say that interpreting and using the data generated from IoT devices is challenging.“With the growth of the Internet of Things, companies will need to massively grow their big data capabilities to keep up with the amount of new data that will be generated.”

1 answer

Sure! Here’s how the provided responses can be classified into sections of the report writing process:

Introduction

  • We will use a variety of online sources such as journals, websites, and tech articles to research how big data will change as the IoT grows expansively.

Methods

  • No specific response fits here for the examples provided.

Results

  • Most organizations (97 percent) say that interpreting and using the data generated from IoT devices is challenging.

Conclusions

  • With the zettabytes of data that are being collectively generated across the IoT, big data infrastructure needs to continue to develop powerful analytic tools that can make use of those massive amounts of data. Because less than 1 percent of raw, unstructured data is even used by organizations, big data needs to continue to improve its ability to sort, organize, process, and analyze large datasets. Companies can increase their efficiency and effectiveness by utilizing big data analytic tools that help them make smart business decisions.
  • “With the growth of the Internet of Things, companies will need to massively grow their big data capabilities to keep up with the amount of new data that will be generated.”

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