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Today’s challenge is what to do with all of the data that has been created as a

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Today’s challenge is what to do with all of the data that has been created as a

Today’s challenge is what to do with all of the data that has been created as a result of the Internet. The field of data science is trying to store, manage, classify and provide meaningful access to it. Think like a futurist. Create a report on where the field is going. Some points you might want to include are:
> What is Big Data? Why is it important? Where does Big Data come from?
> What do you believe the future of Big Data will be? Will it lose its popularity to something else? If so, what will it be?
> What is Big Data analytics? How does it differ from regular analytics?
> What are the critical success factors for Big Data analytics?
> What are the big challenges that one should be mindful of when considering implementation of Big Data analytics?
> What are the common business problems addressed by Big Data analytics?
> In the era of Big Data, are we about to witness the end of data warehousing? Why?
> What are the use cases for Big Data/Hadoop and data warehousing/RDBMS?
> What is stream analytics? How does it differ from regular analytics?
> What are the major uses of IoT?
> Why is the IoT considered a disruptive technology?
> The IoT has a growing impact on business and e-commerce. Find evidence.
Need 12-14 pages in APA format with introduction and conclusion. Must include minimum of 8 peer-reviewed citations.

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