diff --git a/datafusion/core/tests/capitalized_example.csv b/datafusion/core/tests/capitalized_example.csv
new file mode 100644
index 000000000000..dbc8f5c5a0a6
--- /dev/null
+++ b/datafusion/core/tests/capitalized_example.csv
@@ -0,0 +1,5 @@
+A,b,c
+1,2,3
+1,10,5
+2,5,6
+2,1,4
\ No newline at end of file
diff --git a/docs/source/user-guide/example-usage.md b/docs/source/user-guide/example-usage.md
index 48ca791ffe6f..ced84ffa6ec5 100644
--- a/docs/source/user-guide/example-usage.md
+++ b/docs/source/user-guide/example-usage.md
@@ -19,6 +19,10 @@
 
 # Example Usage
 
+In this example some simple processing is performed on a csv file. Please be aware that all identifiers are made lower-case in SQL, so if your csv file has capital letters (ex: Name) you should put your column name in double quotes or the example won't work.
+
+The following example uses [this file](../../../datafusion/core/tests/capitalized_example.csv)
+
 ## Update `Cargo.toml`
 
 Add the following to your `Cargo.toml` file:
@@ -37,10 +41,10 @@ use datafusion::prelude::*;
 async fn main() -> datafusion::error::Result<()> {
   // register the table
   let ctx = SessionContext::new();
-  ctx.register_csv("example", "tests/example.csv", CsvReadOptions::new()).await?;
+  ctx.register_csv("example", "tests/capitalized_example.csv", CsvReadOptions::new()).await?;
 
   // create a plan to run a SQL query
-  let df = ctx.sql("SELECT a, MIN(b) FROM example GROUP BY a LIMIT 100").await?;
+  let df = ctx.sql("SELECT \"A\", MIN(b) FROM example GROUP BY \"A\" LIMIT 100").await?;
 
   // execute and print results
   df.show().await?;
@@ -57,10 +61,10 @@ use datafusion::prelude::*;
 async fn main() -> datafusion::error::Result<()> {
   // create the dataframe
   let ctx = SessionContext::new();
-  let df = ctx.read_csv("tests/example.csv", CsvReadOptions::new()).await?;
+  let df = ctx.read_csv("tests/capitalized_example.csv", CsvReadOptions::new()).await?;
 
-  let df = df.filter(col("a").lt_eq(col("b")))?
-           .aggregate(vec![col("a")], vec![min(col("b"))])?;
+  let df = df.filter(col("A").lt_eq(col("c")))?
+           .aggregate(vec![col("A")], vec![min(col("b"))])?;
 
   // execute and print results
   df.show_limit(100).await?;
@@ -72,8 +76,9 @@ async fn main() -> datafusion::error::Result<()> {
 
 ```text
 +---+--------+
-| a | MIN(b) |
+| A | MIN(b) |
 +---+--------+
+| 2 | 1      |
 | 1 | 2      |
 +---+--------+
 ```
diff --git a/docs/source/user-guide/sql/select.md b/docs/source/user-guide/sql/select.md
index 008981fde0d3..3eea252d7080 100644
--- a/docs/source/user-guide/sql/select.md
+++ b/docs/source/user-guide/sql/select.md
@@ -20,6 +20,9 @@
 # SELECT syntax
 
 The queries in DataFusion scan data from tables and return 0 or more rows.
+Please be aware that column names in queries are made lower-case, but not on the inferred schema. Accordingly, if you
+want to query against a capitalized field, make sure to use double quotes. Please see this
+[example](https://arrow.apache.org/datafusion/user-guide/example-usage.html) for clarification.
 In this documentation we describe the SQL syntax in DataFusion.
 
 DataFusion supports the following syntax for queries: