Remove duplicated "the" (#520)

Thanks for the fixes @benelog

content/documentation/pages/5-feature-guides/2-streams/13-tracing.md

@@ -97,7 +97,7 @@ For example if you have deployed a stream pipeline named `scdf-stream-traces` yo
 
 ![SCDF Wavefront](images/SCDF-stream-tracing-wavefront-search.png)
 
-Push the the `Search` button and the Wavefront dashboards will show similar to the following image:
+Push the `Search` button and the Wavefront dashboards will show similar to the following image:
 
 ![SCDF  Tracing Wavefront](images/SCDF-stream-tracing-wavefront.png)
 

content/documentation/pages/7-recipes/7-batch/2-sftp-to-jdbc.md

@@ -340,7 +340,7 @@ dataflow:>job execution display --id 1
 
 #### Verify Data
 
-When the the batch job runs, it processes the file in the local directory (`/tmp/local-files`), transforms each item to uppercase names, and inserts it into the database.
+When the batch job runs, it processes the file in the local directory (`/tmp/local-files`), transforms each item to uppercase names, and inserts it into the database.
 
 You can use any database tool that supports the H2 database to inspect the data.
 In this example, we use the DBeaver database tool.
@@ -518,7 +518,7 @@ dataflow:>job execution display --id 1
 
 #### Verify Data
 
-When the the batch job runs, it processes the file in the local directory (`/var/scdf/shared-files`), transforms each item to uppercase names, and inserts it into the database.
+When the batch job runs, it processes the file in the local directory (`/var/scdf/shared-files`), transforms each item to uppercase names, and inserts it into the database.
 
 Use [PivotalMySQLWeb](https://github.com/pivotal-cf/PivotalMySQLWeb) to inspect the data.
 
@@ -713,7 +713,7 @@ dataflow:>job execution display --id 1
 
 #### Verify Data
 
-When the the batch job runs, it processes the file in the local directory (`/staging/shared-files`), transforms each item to uppercase names, and inserts it into the database.
+When the batch job runs, it processes the file in the local directory (`/staging/shared-files`), transforms each item to uppercase names, and inserts it into the database.
 
 Open a shell in the `mysql` container to query the `people` table: