Bulk - EDP fix broken links (sqlcl)

Fix 1 broken link issue. See User story: [446435](https://dev.azure.com/msft-skilling/Content/_workitems/edit/446435)

Author: v-thepet

articles/synapse-analytics/migration-guides/oracle/1-design-performance-migration.md

@@ -377,7 +377,7 @@ You can also use [third-party](../../partner/data-integration.md) migration and
 
 #### Data extraction from Oracle
 
-You can extract raw table data from Oracle tables to flat delimited files, such as CSV files, using standard Oracle utilities like Oracle SQL Developer, [SQL\*Plus](https://www.oracle.com/database/technologies/instant-client/downloads.html), and [SCLcl](https://www.oracle.com/database/technologies/appdev/sqlcl.html). Then, you can compress the flat delimited files using gzip, and upload the compressed files to Azure Blob Storage using AzCopy or Azure data transport tools like Azure Data Box.
+You can extract raw table data from Oracle tables to flat delimited files, such as CSV files, using standard Oracle utilities like Oracle SQL Developer, [SQL\*Plus](https://www.oracle.com/database/technologies/instant-client/downloads.html), and [SQLcl](https://docs.oracle.com/en/database/oracle/sql-developer-command-line/). Then, you can compress the flat delimited files using gzip, and upload the compressed files to Azure Blob Storage using AzCopy or Azure data transport tools like Azure Data Box.
 
 Extract table data as efficiently as possible—especially when migrating large fact tables. For Oracle tables, use parallelism to maximize extraction throughput. You can achieve parallelism by running multiple processes that individually extract discrete segments of data, or by using tools capable of automating parallel extraction through partitioning.