Stream Analytics: fix typo

Author: mamccrea

articles/stream-analytics/stream-analytics-streaming-unit-consumption.md

@@ -94,7 +94,7 @@ Once the query is partitioned out, it is spread out over multiple nodes. As a re
 Event Hub partitions should be partitioned by the grouping key to avoid the need for a reduce step. For more information, see [Event Hubs overview](../event-hubs/event-hubs-what-is-event-hubs.md). 
 
 ## Temporal joins
-The memory consumed (state size) of a temporal join is proportional to the number of events in the temporal wiggle room of the join, which is event input rate multiply by the wiggle room size. In other words, the memory consumed by joins is proportional to the DateDiff time range multiplied by average event rate.
+The memory consumed (state size) of a temporal join is proportional to the number of events in the temporal wiggle room of the join, which is event input rate multiplied by the wiggle room size. In other words, the memory consumed by joins is proportional to the DateDiff time range multiplied by average event rate.
 
 The number of unmatched events in the join affect the memory utilization for the query. The following query is looking to find the ad impressions that generate clicks: