What are the critical success factors for big data analytics

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Reference no: EM133581033

Assignment: Computer Science BI, Data Analytics & Decision Support

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:

Question A. What is Big Data? Why is it important? Where does Big Data come from?

Question B. 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?

Question C. What is Big Data analytics? How does it differ from regular analytics?

Question D. What are the critical success factors for Big Data analytics?

Question E. What are the big challenges that one should be mindful of when considering implementation of Big Data analytics?

Question F. What are the common business problems addressed by Big Data analytics?

Question G. In the era of Big Data, are we about to witness the end of data warehousing? Why?

Question H. What are the use cases for Big Data/Hadoop and data warehousing/RDBMS?

Question I. What is stream analytics? How does it differ from regular analytics?

Question J. What are the major uses of IoT?

Question K. Why is the IoT considered a disruptive technology?

Question L. The IoT has a growing impact on business and e-commerce. Find evidence.

Reference no: EM133581033

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