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.
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