Join Barton Poulson for an in-depth discussion in this video Variety, part of Techniques and Concepts of Big Data.
And now we get to the third aspect of big data, variety.…What we mean here is that it's not just…the rows and columns of a nicely formatted…data set in a spread sheet, for instance.…Instead you can have many data sheets…in many different formats.…You can have unstructured text,…like books and blog posts…and comments on news articles and tweets.…One researcher has estimated that 80 percent…of enterprise data may be unstructured,…so it's the majority as the common case.…
This can also include photos and videos and audio.…Similarly, data sets that include things…like networked graph data,…that's social connections data.…Or if you're dealing with data sets…in what is called noSQL databases,…so you may have graphs of social connections.…you may have hierarchical…structures and documents.…Any number of data formats that don't fit well…into the rows and columns of a conventional…relational database or a spreadsheet,…then you can have some very…serious analytical challenges.…
In fact, a recent study by Forester Research…shows that variety is the biggest factor…
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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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