Abstract
Making use of big data is a team sport. It takes several different kinds of people to get things done, and in all but the smallest organizations, they should be organized into multiple teams. When the help from these friends comes together, you can do some awesome things. When you’re missing your friends, you fail and underperform.
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Notes
- 1.
If you have small data, don’t take this as belittling your use case, company, or project. Rather, you should be relieved that you’ve dodged the bullet known as big data (see www.jesse-anderson.com/2018/07/saying-you-have-small-data-isnt-belittling-your-use-case/).
- 2.
For a full explanation of this increase in complexity, I suggest you read www.oreilly.com/learning/on-complexity-in-big-data/.
- 3.
It’s also worth noting other people’s definition of data pipelines and related questions (see www.jesse-anderson.com/2018/08/what-is-a-data-pipeline/).
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© 2020 Jesse Anderson
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Anderson, J. (2020). Data Teams. In: Data Teams. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6228-3_1
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DOI: https://doi.org/10.1007/978-1-4842-6228-3_1
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