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.
https://www.theatlantic.com/magazine/archive/1945/07/as-we-may-think/303881/
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 least2-pagewith at leastseven (7)peer-reviewed references (youmustinclude DOI for your reference).
- You must provide TurnitIn similarity and TurnitIn AI reports.