Join Barton Poulson for an in-depth discussion in this video Unstructured data, part of Techniques and Concepts of Big Data.
- In the last movie, we talked about structured data,…which usually means data that's placed in a file…with fixed fields, such as a spreadsheet…or relational database.…For example, here's a table with basic data…about a few sports teams.…We have a column to indicate the sport,…and we have a second column…to indicate the name of the team,…and each team gets one row.…This is just like you would get out of an Excel spreadsheet.…In fact, I copied and pasted it out of there,…and that's how you would format it.…Easy to deal with.…On the other hand,…there's also unstructured data or text.…
If you were to write this in a report,…you might say something like,…"Two prominent soccer teams in Europe…"are Manchester United and FC Barcelona."…And "Two NFL football teams in America…"are the Oakland Raiders and the Tennessee Titans."…Now, while this data is easy for a person to understand,…it's much more difficult for a machine to understand.…It's not easy to sort this kind of data.…It's hard to rearrange it.…It's hard to count the values,…
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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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