Step 1: Check the existing data in the employee table: Step 2: Change the data manually in the csv file in data lake: we need to check whether this change will be visible in the table or not (definitely at the end). Step 3: Settings in “Sink” opti...
Step 1: Do we have the table employee in SQL? Step 2: Use the dataset which is pointing to the file in Data Lake: Step 3: Set up the Source and Sink in the copy activity: Source - It will point to the dataset which is pointing to the employee file ...
“Use Case”: Whenever we have more than 100 records in the customer table, we copy the customer data to another table customer_copy within the SQL DB. However, whenever we do this copy, we first truncate the table 'customer_copy' and then copy the dat...
Step 1: Create an instance of Azure Data Factory: Step 2: Set up Linked Services: Step 3: Create a dataset for both (source-SQL Database and destination-Azure Data Lake): Step 4: Build the Data Pipeline with the help of datasets: First I will us...
Step 1: Create an instance of Azure Data Factory: Step 2: Set up Linked Services: Step 3: Create a dataset for both (source-SQL Database and destination-Azure Data Lake): Step 4: Build the Data Pipeline with the help of datasets: Step 5: Test ...
Step 1: Create an instance of Azure Data Factory: Step 2: Set up Linked Services: Step 3: Create a dataset for both (source-SQL Database and destination-Azure Data Lake): Now, this is the most important step for dynamic nomelcature: Step 4: B...
Step 1: Create an instance of Azure Data Factory: Step 2: Set up Linked Services: Step 3: Create a dataset for both (source-SQL Database and destination-Azure Data Lake): This is the most important step because we will select the pipe as a delim...
Step 1: Create an instance of Azure Data Factory Step 2: Set up Linked Services As source and destination both are same (Azure Data Lake) so same linked service can be used. Step 3: Create a dataset for both (source and destination) Step 4: Build...
Step 1: Create an instance of Azure Data Factory Step 2: Set up Linked Services Continue following the instructions shown in the images. Step 3: Create a dataset for both the SQL database and the Data Lake JSON file format. Step 4: Build the...
Step 1: Create an instance of Azure Data Factory Step 2: Set up Linked Services Continue following the instructions shown in the images. Step 3: Create a dataset for both the SQL database and the Data Lake CSV file format. Step 4: Build the ...
