From the course: Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) Cert Prep by Microsoft Press
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Optimizing Eventstreams and Eventhouses - Microsoft Fabric Tutorial
From the course: Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) Cert Prep by Microsoft Press
Optimizing Eventstreams and Eventhouses
Now, in the event stream, we can benefit from setting both the data retentions and also throughput optimization. Now let's look at throughput optimization first. We can set the event stream at three different levels of throughput, low, medium, and high. Now, once we've upgraded a throughput optimization, let's say we've gone from low to medium, we can't actually downgrade that throughput optimization. If we look at the data retention period, we can configure that between 1 and 90 days for the event stream. Now, 90 days is an awful long time to keep data in an event stream. The shorter the retention time possible, the better. And in fact, the default is one day. So if you do not take your events off the event stream within one day, you will lose those event stream events unless you increase the data retention. But that also increases storage and cost. Now, in terms of ingestion configuration on an event stream, we can actually configure a direct ingestion straight into an event house…
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Learning objectives22s
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Optimizing a lakehouse table6m 56s
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Optimizing a data factory pipeline5m 2s
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Optimizing a warehouse5m 43s
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Optimizing Eventstreams and Eventhouses4m 43s
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Optimizing Spark performance8m 29s
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Optimizing query performance5m 37s
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Quiz2m 30s
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