see instruction
In 1945, Vannevar Bush described a device which would be able to do all of the things the Internet now purports in the article:
Bush, V. (1945, July). As we may think. The Atlantic.
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 industry 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.
Textbook Reference:
Sharda, R., Delen, D., & Turban, E. (2020).
Analytics, data science, & artificial intelligence: Systems for decision support (11th ed.). Pearson.
Requirement:
· At least
2-page with at least
seven (7) peer-reviewed references (you
must include DOI for your reference).
· You must provide TurnitIn similarity and TurnitIn AI reports.
