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Chapter 4: Big Data Science Technologies

Do you need a big budget to do big data analytics? In this chapter, you’ll learn more about 5 big data technologies: Cloud computing, high performance computing, artificial intelligence, wearable devices/sensors, and digital twins. By the end of this chapter, you’ll know more about how NCI uses these technologies for cancer research and what kind of resources you would need to use them.

Watch the Video

Watch 5 Tips for Practicing Cloud Computing (approx. 6 minutes long).

Test Your Knowledge

Which of the following is NOT a reason why data are secure in the cloud?

A. Cloud service providers understand that there is a shared responsibility model for cloud security.
B. Cloud service providers use tools like encryption and multi-factor authentication to ensure security.
C. Service providers offer details about how they remain compliant with security standards.
D. None of the above.

The correct answer is D. All of these are reasons why data are secure in the cloud.

The incorrect answers are: 

A. Service providers do understand that there is a model for cloud security that they must adhere to.

B. Encryption and multi-factor authentication are just two of many tools that allow cloud data to be secure.

C. Service providers do indeed provide details to illustrate how they remain compliant with standards and thus support the integrity of cloud data.

Keep Going

Continue to Chapter 5 to learn about big data technologies we think can accelerate your education and research.

Instructor

Krish Seshadri, NCI Center for Biomedical Informatics and Information Technology (CBIIT)
Mr. Seshadri is a senior cloud architect and computer scientist within NCI CBIIT’s Digital Services and Solutions Branch. He provides the technical direction for several of NCI’s cloud platforms.

For questions and feedback about this chapter, email our team at ncicbiit@mail.nih.gov

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