Join Barton Poulson for an in-depth discussion in this video Challenges with anonymity, part of Big Data Foundations: Techniques and Concepts.
We've discussed some amazing things…that can be done with big data…especially when an individual's information is compared…to a massive data set.…Some of those examples however, can feel like…they've crossed the line that separates the impressive…from the creepy.…That's because privacy is an important issue…and a lot of these examples feel like…they may have crossed the line into private information…that people did not expect to have divulged.…People don't want their personal information to be public…and over the last several years…there have been severe consequences to breaches of privacy…either accidental or intentional.…
On the other hand people do want to have quality service…and need to have good research, there's the rub.…One possible solution is to anonymize data…to make it anonymous.…By removing identifiers like names, addresses,…and other obvious bits of personally…identifiable information.…But many such attempts have failed dramatically.…One of the major challenges of working with big data…is that even when a person attempts…
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- What makes big data "big"
- Understanding how big data impacts consumers, businesses, and research
- Exploring the intersection of data science and big data
- Facing big data's ethical challenges
- Understanding the sources and structures of big data
- Storing big data
- Prepping big data for analysis
Skill Level Beginner
What Is Big Data?
2. How Is Big Data used?
3. Big Data and Data Science
4. Ethics in Big Data
Challenges with anonymity5m 51s
5. Sources and Structures of Big Data
6. Storing Big Data
7. Preparing Data for Analysis
8. Big Data Analysis
Next steps1m 58s
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