From the course: Leading Teams Working with Data: Pitfalls and Best Practices
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Assess data storage and processing
From the course: Leading Teams Working with Data: Pitfalls and Best Practices
Assess data storage and processing
- Whenever you're working with data, you need to make sure that you have the right tools to get the job done before you start your analysis. This includes a few different elements. First, there's the processing power. This includes the hardware, the software, and the people on your team. And of course, don't forget the storage capabilities and the budget. Not all of these items are cheap and many of them can be quite expensive. Although storage has gotten cheaper over time, to hire extremely talented people who are capable of analyzing data and teasing out the implications, that can be quite expensive. Additionally, processing power, which had been getting cheaper over many, many years as a process of something called Moore's Law, has slowed down. That means if you need to do more processing, that might become more expensive, especially for very large datasets. As for hardware, again, if you want the best hardware…
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Communicate the big picture1m 10s
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Discuss potential issues in the data1m 34s
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Assess data storage and processing1m 59s
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Review data collection: How and where1m 40s
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Create data if you need it1m 2s
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Triple check your work1m 20s
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Show and teach1m 54s
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