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Merge pull request #1983 from influxdata/query-optimization-wording-1 

Update optimize-queries.md
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content/influxdb/cloud/query-data/optimize-queries.md
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@ -72,7 +72,7 @@ We're continually optimizing Flux and this list may not represent its current st
## Balance time range and data precision
To ensure queries are performant, balance the time range and the precision of your data.
For example, if you query data stored every second and request six months worth of data,
results will include a minimum of ≈15.5 million points.
Flux must store these points in memory to generate a response.
results would include ≈15.5 million points per series. Depending on the number of series returned after `filter()`([cardinality](/influxdb/cloud/reference/glossary/#series-cardinality)), this can quickly become many billions of points.
Flux must store these points in memory to generate a response. Use [pushdown functions](#pushdown-functions) to optimize how many points are stored in memory.
To query data over large periods of time, create a task to [downsample data](/influxdb/cloud/process-data/common-tasks/downsample-data/), and then query the downsampled data instead.

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content/influxdb/v2.0/query-data/optimize-queries.md
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@ -74,7 +74,7 @@ We're continually optimizing Flux and this list may not represent its current st
## Balance time range and data precision
To ensure queries are performant, balance the time range and the precision of your data.
For example, if you query data stored every second and request six months worth of data,
results will include a minimum of ≈15.5 million points.
Flux must store these points in memory to generate a response.
results would include ≈15.5 million points per series. Depending on the number of series returned after `filter()`([cardinality](/influxdb/v2.0/reference/glossary/#series-cardinality)), this can quickly become many billions of points.
Flux must store these points in memory to generate a response. Use [pushdown functions](#pushdown-functions) to optimize how many points are stored in memory.
To query data over large periods of time, create a task to [downsample data](/influxdb/v2.0/process-data/common-tasks/downsample-data/), and then query the downsampled data instead.