Join Barton Poulson for an in-depth discussion in this video Variety, part of Big Data Foundations: Techniques and Concepts.
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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- Evaluate the demand for data science in business, research, and consumer technology.
- Assess the careers and skills in data science.
- Review the ethical issues in data science.
- Explore data visualization with graphing tools.
- Discover how data scientists use tools such as Hadoop and Excel.
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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