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If you are a data engineer, you have probably come across this situation where you have to decide between two approaches for refreshing enterprise data. One approach focuses more on speed and less on compute, while the other focuses more on reliability and data correctness. Usually, when we talk about data refresh, the two options that come to mind are incremental load and full load, and the question becomes which one we should choose.
In my opinion, this is not necessarily a choice where we have to pick one approach over the other. Both approaches have advantages and disadvantages, and rather than relying on one approach, I believe we can combine them and use each where it makes the most sense.
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