Scenario 2: Take data from the Azure SQL Database and send the data to an API endpointĪzure Function that sends data from SQL to an API endpoint, Scenario 2Īzure Function that sends data from SQL to an FTP server, Scenario 1Īzure Functions app settings file, used for local development - update and copy to. txt files from data currently stored in Azure SQL Database and send the files to an FTP server Import csv import json # Open the JSON file with open( 'data.How do I transfer data from Azure SQL Database in Python every day? # Create a new CSV file and write the data with open( 'data.csv', 'w', newline = '') as csv_file: In this example, the code first opens the JSON file using the open() function and the JSON module’s load() function, which reads the file’s contents and converts it to a Python object. Then, it creates a new CSV file and uses the CSV module’s DictWriter() class to write the data to the file. The fieldnames for the writer are set to the keys of the first element of the data. Please note that this code assumes that the JSON file is an array of objects, each having the same keys. If the JSON file has a different structure, you may need to adjust the code accordingly. The data.json file in the previous example is a file that contains data in JSON format. 
It could be any file that has a valid JSON format, such as a file containing information about products, customers, or weather data. The file can be generated from different sources, such as an API or data scraping, or it could be a file that you have created on your own.
It is essential to mention that the structure of the JSON file should match the structure that is expected by the code. In the example I provided, the JSON file is an array of objects, with each object having the same keys. The following steps convert a JSON string to a CSV file using Python: Import Pandas Import Pandas using import pandas as pd Load the JSON string as a Pandas DataFrame Load the DataFrame using pd.
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