You're tasked with explaining database indexing to non-tech stakeholders. How do you simplify the complexity?
Explaining database indexing to non-tech stakeholders involves breaking down its purpose and benefits into relatable terms. Think of it as a library's card catalog, which helps you find books faster. Here are some effective ways to clarify this concept:
What methods have you found useful in explaining technical concepts to non-technical colleagues?
You're tasked with explaining database indexing to non-tech stakeholders. How do you simplify the complexity?
Explaining database indexing to non-tech stakeholders involves breaking down its purpose and benefits into relatable terms. Think of it as a library's card catalog, which helps you find books faster. Here are some effective ways to clarify this concept:
What methods have you found useful in explaining technical concepts to non-technical colleagues?
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When we think about indexes the goal is retrieval speed. The task is accomplished by knowing where to look and avoiding at irrelevant items. The less items you have to look at before finding the target the better. An example from life might be we need to find John Smith who lives at 123 Main St. We can knock on every door in the neighborhood which would be a full table scan or indexless search. That's inefficient. We might search for him by street name which would be like a non-clustered index. Arriving at the street we might search for the house number which is in order like a clustered index. It would be faster to use a multi column index to find both street name and number. Determining the use case will determine the best index.
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