edgar2020 commented on code in PR #16762:
URL: https://github.com/apache/druid/pull/16762#discussion_r1688744588


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docs/tutorials/tutorial-rollup.md:
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@@ -24,18 +24,18 @@ sidebar_label: Aggregate data with rollup
   -->
 
 
-Apache Druid can summarize raw data at ingestion time using a process we refer 
to as "rollup". Rollup is a first-level aggregation operation over a selected 
set of columns that reduces the size of stored data.
+Apache Druid® can summarize raw data at ingestion time using a 
process known as "rollup". Rollup is a first-level aggregation operation over a 
selected set of columns that reduces the size of stored data.
 
-This tutorial will demonstrate the effects of rollup on an example dataset.
+This tutorial demonstrates the effects of rollup on an example dataset.
 
-For this tutorial, we'll assume you've already downloaded Druid as described in
-the [single-machine quickstart](index.md) and have it running on your local 
machine.
+For this tutorial, you should have Druid downloaded as described in
+the [single-machine quickstart](index.md) and have it running on your local 
machine. The examples in the tutorial use the [multi-stage 
query](../multi-stage-query/index.md) (MSQ) task engine to execute SQL 
statements.
 
-It will also be helpful to have finished [Load a 
file](../tutorials/tutorial-batch.md) and [Query 
data](../tutorials/tutorial-query.md) tutorials.
+It is helpful to have finished [Load a file](../tutorials/tutorial-batch.md) 
and [Query data](../tutorials/tutorial-query.md) tutorials.
 
 ## Example data
 
-For this tutorial, we'll use a small sample of network flow event data, 
representing packet and byte counts for traffic from a source to a destination 
IP address that occurred within a particular second.
+For this tutorial, you use a small sample of network flow event data, 
representing packet and byte counts for traffic from a source to a destination 
IP address that occurred within a particular second.

Review Comment:
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