Join Barton Poulson for an in-depth discussion in this video Additional Vs of big data, part of Big Data Foundations: Techniques and Concepts.
- At the beginning of this course, I mentioned that…big data is typically defined by three V's.…And those are volume, velocity, and variety.…So volume meaning a very large amount of data,…velocity meaning it's often coming in quickly,…might be streaming data, and variety means…a lot of different formats and especially not…in the regularly structured rows and columns…of a spreadsheet or a relational database.…On the other hand, there have been a series…of other V's proposed.…
Now the thing is we kind of got the V's rolling and…people are throwing everything they can in it like…volcanic and verisimilitudeness and who knows what else.…But the point here is the V's that I'm going to list…all do have a legitimate reason for being discussed…even if the V word itself is a bit of a stretch.…But these are all factors to consider…with big data research.…The ones I'm going to mention here are veracity.…Now, veracity means will it give you insights into…the truth about your research questions?…It really has to do with does the data that you have…
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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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