Update data source by id

{
    "id": "2e335065-0fb5-47c0-97b0-e603a15efdd8",
    "created_at": "2024-01-17T11:55:26.929359+00:00",
    "last_updated_at": "2024-01-24T15:26:11.8+00:00",
    "title": "Airtable customers dataset",
    "source": "airtable",
    "config": "Cmw+arkPgRtgYM9aDeMwqsr4vwLNPoxbwK+j5+7y9ytNc6L3nRwo0SmjvIgy3v/Zqu10CmLridbh w29juLQwbUzGafEZ3HT2EhC8Nby68xlscNEOSiqeQSvZJOvFFD18v3Urmw4nyOWAYMPgiEe2SjR3 4864rxQcId9IBIatvGEpZkqMgT8BJerh7Btz0VtE1G6k+GfqriPfDZk=",
    "columns": [
        {
            "title": "State",
            "description": "The state where the customer is located."
        },
        {
            "title": "Customer ID",
            "description": "The unique identifier for the customer."
        },
        {
            "title": "City",
            "description": "The city where the customer is located."
        },
        {
            "title": "Segment",
            "description": "The customer segment (e.g., Consumer, Corporate, etc.)."
        },
        {
            "title": "Country",
            "description": "The country where the customer is located."
        },
        {
            "title": "Postal Code",
            "description": "The postal code of the customer's location."
        },
        {
            "title": "Region",
            "description": "The region where the customer is located."
        }
    ],
    "parameters": "GCHHaN/37sD/x8jhbI0Drf6jUqRumCZilJjAmPp6c+JRkg==",
    "description": "",
    "team": "ee5b08c6-5167-4425-bbc3-a746fe4a7ead",
    "created_by": "5899f99d-a449-4bfa-8769-19c097aaf1f6",
    "last_updated_by": null,
    "size": 15,
    "sample_data": "G+xLNbqHn/KoUqVh5j27JMIaKs1jONSOL/2Wt8wAPC2XwFtqRr0U6Mix6yFPpZV3dAokPv6746fu pEKRW6+lvvxQC7zlNuaptvNOFuhJzmJRUUkchfB+OyN/lske17uaJ8MwMGLm2H1rhevZ3/ZIHo8F CyKcdxyBEQ9Az6ApiNg4L1cXD6OxG1Vcw4YlkWd+n13I9lUfd04UKIXm3HDTSza29DePfnix4p2w 9q3mtwAi6dxEtnQ54Lbvk8FgLSGz+syMuHRMxdkHJC8TtQ2EKXCR9JphsMIH2g6fG4AYJuZezwW1 VtD/n2z/vY+K40Oiw471OVkuEm7cnUs73D/NnhNbHgOsCQOtwTaPR+ylge0z1N1dYtZOk8SFhkY3 z9wlE/Gnj0EzuUff2F46xJx9gBxhfZPkYPLedZ8+pMvVL8ZuzqUx+pKNKnosAiIdvQkRG17O44Ol 6s/0P38AS6EkYBQQJMg2E1WsYbwAVHVDJ7NZgpcPSvYYaxsWMxk6dBOs9mhJv8MMbM4D2eqsZt4s QuPCtu6ZyxuUIgw5yk2dDHUn/ZG3UVXkcT6HRjh2gVAn4WHvqJEsB380e0KuK38bkXEUK7j/kaOM UlauV7mf+XqH9QJxUno/cAbz96KhKRwmUakpbwHojXaJDg5W4feTfqDB2BJf42EgMFPEjWlzI6x/ ApInN8a1SoFE4sWJP1mfLrEoe3oikTPDW9YH68iJKaIN99LfimjunDlAqxRXhoeubMeqwK6jvObi nryA0ZkcrgWRV3WXik76aQFb5Ws8WElZBZbTU1tdaT8ClwKhbrMSB/s7akgxAsLY0H7r3YA1pN97 9MrO9MGiY80yhgi/cG+v4h5CHKydXg4hx7jRdW8mM8XxkiErPlQIWM8wnWCdt9a9TRm9svWNYY9M 7VzNSTRYZqisXGlADWqaxqevU/AD5o3aCghyrU9letT5YyRayWl2a0M0+xjm/+TMa1LwM8Tk2AWW V0ipSixGffn5hlTg6XgkgJCaUhFRZo37UDMNljZtAHeKmaXu3JbZiqEQWN1+LybJvarkppj+fneU Cn3dlKcsRPrRat7HTI8WEck5y2Bo+Z4l3311lKuyEiRJ7mWUkBiiIb06+7Bw1RXW3fUjPBPUQSdm 2CfKxh/uDhNh+PTfLpC3Qp548L9GE5BPwnKGHhjh8fStYGn9uQBl9rVL/D2nUC8BTlK4hAMV84us HzVGlCLsUYw7f2L0pljWTu7/hQitH4aYtu4wqBO8vvKBBhsiBIEUCxjEpgA42T530EdyPIxs6T8g DBQ510VlZebm2aBAnablrGvKGsPMq64IUExlRnEskpNOsHd2ry2SCprFornn2NxwFf0m57EYef26 gcl2lFY0TiKJV0SHfx/H+HkQsrDVrVzoHVbU7EtQ3vWUro07xkFNA8Uq39ddwAVatVMHjIBBMGWm DpN0GsQw+immthG8RIIh4vVMMOCmf1cdKwM4VhoJ0RNsDDIOH0nWPwHp1CKNZt+zngo1gHU9NKpQ yuFMbfUoZ87aGrIFP01ZcIzr3Epw14XimyjIZpzqBRMCdl0Q9PcmhCSgUJYCVxs994OQ2VR9lMWO auhgqo7ayGdCzWYyVx3VSWqKsi1deQiDhSSN93PX4pCqnUp/Zu/X+avCVOvcAw+ovjEMsF+1faL1 JZFPWYcYI/CM9mz+On/gip+cPb6AS/gtfuqEOw6PZ90QA45Grd4uqtMd+2aJtFc68CQ9GRxuX98G bly127WfOtwODrT9ZvqJ60nhm7ZND/jaMusQ/vPPfKlVdQHXHDBmPK9R3K0Wurl0H5CkyFnhxJO1 58w8Xxuju5bCxXESHrHc3d0yq4I+r783Mq51mRuKzc841Jm8sNv51l0QloAHaDfav4ZhR2z1UVdY JOTnxtAV3/sJIDUpWCvZjxAPFqqReNkP1jrePuArjSW7zUjmyXOw4H9ZDLptxWVj2IoOe53vn+mT RrfybMDgVpn5dnPoaEwstfdq540k2hlDWYDe5zTfMnfXSYbR7M5fJsiBEbRB8DLM3kMWK/Ece1Ts 6Jb1yxkkre69hjgLk8Jq36hLcG3LJEGox8ICWA=="
}