Join Barton Poulson for an in-depth discussion in this video Human-generated data, part of Big Data Foundations: Techniques and Concepts.
Big data can come from several different sources.…Now, one way to think about it is whether…the data was produced by a human…or whether it was produced by a machine.…We humans generate a lot of data…whether we mean to or not.…That's what we're going to cover in this movie.…This first thing I want to talk about is intentional data.…This is data that you know you are creating,…so for instance, if you take photos, videos,…or record audio or put text on a social network,…you know you're doing it.…You can also click "like" if you're on Facebook.…
When you do web searches, a record of the…web pages that you have viewed are bookmarked.…Your emails and your text messages.…Your cell phone calls.…If you read an eBook, the highlights, the notes…in the bookmarks and online purchases.…All of these are kinds of data that do not exist…until the person deliberately makes them happen,…so these are records of human actions.…What's interesting about it is, in addition to these…intentional pieces of information,…there's also meta data.…
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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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