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-- T-SQL script for SSIS
EXEC sp_addlinkedserver   
   @server='MyLinkedServer', 
   @srvproduct='',
   @provider='SQLNCLI', 
   @datasrc='\\network\path\myDataFile.csv',
   @provstr='Text';

Copy

-- JSON script for an ADF pipeline
{
  "name": "PipelineName",
  "properties": {
    "activities": [
      {
        "name": "CopyData",
        "type": "Copy",
        "inputs": [
          {
            "referenceName": "InputDataset",
            "type": "DatasetReference"
          }
        ],
        "outputs": [
          {
            "referenceName": "OutputDataset",
            "type": "DatasetReference"
          }
        ],
        "typeProperties": {
          "source": {
            "type": "Source"
          },
          "sink": {
            "type": "Sink"
          }
        }
      }
    ]
  }
}

Another significant difference between SSIS and ADF is their pricing models. SSIS is licensed as part of SQL Server, so there are no additional costs for using it. However, there are costs associated with the infrastructure needed to run SSIS. ADF follows a pay-as-you-go model, where you're charged based on the resources consumed.

In conclusion, both SSIS and ADF have their strengths and are suited to different scenarios. If you have a substantial on-premises footprint and primarily use SQL Server, SSIS might be a good fit. On the other hand, if your organization is moving towards a cloud-first approach and needs to integrate with a variety of data sources, ADF could be the better choice.

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