Todays 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,

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.