Update README

README.md

@@ -1,18 +1,19 @@
 # covid-etl-df
-The scope of this project is the creation of insightful 
+The scope of this project is the creation of insightful
 analytics on the Italian COVID pandemic and vaccine status.
-![img.png](screenshots/img.png)
+![pandemic.png](screenshots/pandemic.png)
+![vax.png](screenshots/vax.png)
 ## Description
-This repository hosts an Azure Data Factory (ADF) to perform the ingestion of the 
+This repository hosts an Azure Data Factory (ADF) to perform the ingestion of the
 official COVID-19 pandemic- and vaccine-data on an Azure SQL Database.
-It also contains for the DDL needed for the creation of the data model 
+It also contains for the DDL needed for the creation of the data model
 on an Azure SQL Database.
 
-## Data Factory 
+## Data Factory
 The ADF consists of:
 * 1 tumbling-window trigger
 * 3 linked services
-* 3 datasets 
+* 3 datasets
 * 5 ingestion pipelines
 
 <a href="https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FrealAngryAnalytics%2Fadf%2Fmaster%2Fazuredeploy.json" target="_blank">
@@ -38,10 +39,10 @@ Represents the CSV file from the civil-protection repository taken from its link
 #### GithubOD
 Represents the CSV file from the Italia open data repository taken from its linked service
 #### SQLDB
-Represents the dataset needed for the copy to the Azure SQL DB linked service 
+Represents the dataset needed for the copy to the Azure SQL DB linked service
 
 ### Pipelines
-The main pipeline is the `Data Ingestion` pipeline. 
+The main pipeline is the `Data Ingestion` pipeline.
 This calls two pipelines:
 * `Ingest Pandemic Data`
 * `Ingest Vax Data`
@@ -51,24 +52,24 @@ which in turn call the two parametric copy-activity pipelines:
 * `PCM-DPC 2 SQL`
 
 These are parametric in directory name and file name to be retrieved from the relevant
-Github repositories and perform the copy activities from the CSV files to 
+Github repositories and perform the copy activities from the CSV files to
 the relevant tables on SQL, together with a provided stored procedure
-that update the age ranges in the 
+that update the age ranges in the
 [Italia-Open-Data adminstrations CSV file](https://github.com/italia/covid19-opendata-vaccini/blob/master/dati/somministrazioni-vaccini-latest.csv)
 to harmonize the age-range with their provided [population CSV file](https://github.com/italia/covid19-opendata-vaccini/blob/master/dati/platea.csv)
 
 ## The DDL scripts
 The needed tables, view, and procedure are defined under `SQL/`.
-The scripts create the relevant tables needed for the ingestion; 
-an update procedure to harmonize the data; the views to be exposed to 
+The scripts create the relevant tables needed for the ingestion;
+an update procedure to harmonize the data; the views to be exposed to
 the data model.
 
 ## Usage
 The repository does not contain any script for the automated deployment of the ADF.
 However, in order to deploy the ADF, apart from clicking on the button at the top of this repo
 it is needed to:
 * fork this repo
-* provision an Azure SQL Database (connection string needed in the template)  
+* provision an Azure SQL Database (connection string needed in the template)
 * provision an Azure Data Factory
 
 Once the services have been created, run:

linkedService/AzureSqlDatabase.json

@@ -13,8 +13,8 @@
 		"annotations": [],
 		"type": "AzureSqlDatabase",
 		"typeProperties": {
-			"connectionString": "integrated security=False;encrypt=True;connection timeout=30;data source=covidash-srv.database.windows.net;initial catalog=covid-db;user id=burbusql",
-			"encryptedCredential": "ew0KICAiVmVyc2lvbiI6ICIyMDE3LTExLTMwIiwNCiAgIlByb3RlY3Rpb25Nb2RlIjogIktleSIsDQogICJTZWNyZXRDb250ZW50VHlwZSI6ICJQbGFpbnRleHQiLA0KICAiQ3JlZGVudGlhbElkIjogIkRBVEFGQUNUT1JZQDg1NUEwMTVCLUFFMDUtNDJBRi1BMjE1LTgxQzExMzUyMERDN184MDUxZmE2My0zYzY4LTQ1YjctOTUwYy1jYjBkMjhlNWFkMzMiDQp9"
+			"connectionString": "YOUR_LINKED_SERVICE_CONNECTION_STRING",
+			"encryptedCredential": "YOUR_LINKED_SERVICE_CREDENTIALS"
 		}
 	}
 }