From e9a7422e50c326ba5dc656d1023e8e7bf6e8f1fe Mon Sep 17 00:00:00 2001
From: ArthurKordes <75675106+ArthurKordes@users.noreply.github.com>
Date: Thu, 29 Aug 2024 16:22:33 +0200
Subject: [PATCH] Update README.md

---
 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index ffa6426..3fabcdf 100644
--- a/README.md
+++ b/README.md
@@ -32,16 +32,16 @@ or MS Teams webhooks for notifications, location for storing GX, etc).
 
 
 # Create data quality schema and tables (in respective catalog of data team)
+Before running your first dq check, create the data quality schema and tables from the notebook from repo path: scripts/data_quality_tables.sql
+- Open the notebook, connect to a cluster.
+- Select the catalog of the data team and execute the notebook. It will create xthe schema and tables if they are not yet there.
 
-for the first time installation create data quality schema and tables from the notebook from repo path scripts/data_quality_tables.sql
-- open the notebook, connect to a cluster
-- select the catalog of the data team and execute the notebook. It will check if schema is available if not it will create schema and same for tables.
 
 # Export the schema from Unity Catalog to the Input Form
 In order to output the schema from Unity Catalog, use the following commands (using the required schema name):
 
 ```
-schema_output = dq_suite.export_schema('schema_name', spark)
+schema_output = dq_suite.schema_to_json_string('schema_name', spark)
 print(schema_output)
 ```