← Interzoid

Generate Match Report with Interzoid API

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Generate Match Report with the Interzoid API
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Getting Started

Create a workflow to Generate Match Report with the Interzoid API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Generate Match Report action
    1. Connect your Interzoid account
    2. Select a Matching Algorithm Type
    3. Select a Database Connection Type
    4. Configure Connection String
    5. Configure Table Name
    6. Configure Match Column Name
    7. Optional- Configure Reference
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

Integrations

Generate Match Report with Interzoid API on New Requests (Payload Only) from HTTP / Webhook API
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Generate Match Report with Interzoid API on New Submission from Typeform API
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Generate Match Report with Interzoid API on Custom Events from Zoom API
Zoom + Interzoid
 
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Generate Match Report with Interzoid API on New Submission (Instant) from Jotform API
Jotform + Interzoid
 
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Generate Match Report with Interzoid API on New Scheduled Tasks from Pipedream API
Pipedream + Interzoid
 
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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Generate Match Report on Interzoid
Description:Generate a Match Report using a dataset table or file (CSV/TSV/Excel). [See the documentation](https://connect.interzoid.com/data-matching-workflow)
Version:0.0.1
Key:interzoid-generate-match-report

Code

import interzoid from "../../interzoid.app.mjs";
import constants from "../../common/constants.mjs";

export default {
  key: "interzoid-generate-match-report",
  name: "Generate Match Report",
  description: "Generate a Match Report using a dataset table or file (CSV/TSV/Excel). [See the documentation](https://connect.interzoid.com/data-matching-workflow)",
  version: "0.0.1",
  type: "action",
  props: {
    interzoid,
    category: {
      type: "string",
      label: "Matching Algorithm Type",
      description: "This category type indicates which set of Machine Learning and matching algorithms to make use of based on type of data content",
      options: constants.CATEGORY_OPTIONS,
    },
    source: {
      type: "string",
      label: "Database Connection Type",
      description: "Source of data, such as 'CSV', 'Snowflake', 'Postgres', etc.",
      options: constants.SOURCE_OPTIONS,
    },
    connection: {
      type: "string",
      label: "Connection String",
      description: "Connection string to access database, or in the case of a CSV or TSV file, use the full URL of the location of the file.",
    },
    table: {
      type: "string",
      label: "Table Name",
      description: "Table name to access the source data. Use \"CSV\" or \"TSV\" for delimited text files.",
    },
    column: {
      type: "string",
      label: "Match Column Name",
      description: "Column name within the table to access the source data. This is a number for CSV or TSV files, starting with number 1 from the left side of the file.",
    },
    reference: {
      type: "string",
      label: "Reference",
      description: "An additional column from the source table to display in the output results, such as a primary key.",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.interzoid.generateMatchReport({
      $,
      params: {
        category: this.category,
        source: this.source,
        connection: this.connection,
        table: this.table,
        column: this.column,
        reference: this.reference,
      },
    });

    $.export("$summary", "Successfully generated match report");

    return response;
  },
};

Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
InterzoidinterzoidappThis component uses the Interzoid app.
Matching Algorithm TypecategorystringSelect a value from the drop down menu:{ "label": "Company and Organization Names", "value": "company" }{ "label": "Individual Names", "value": "individual" }{ "label": "Street Addresses", "value": "address" }
Database Connection TypesourcestringSelect a value from the drop down menu:AWS RDS/AuroraSnowflakeAzure SQLGoogle Cloud SQLDatabricksPostgreSQLMySQLMariaDBParquetCSVTSVExcel
Connection Stringconnectionstring

Connection string to access database, or in the case of a CSV or TSV file, use the full URL of the location of the file.

Table Nametablestring

Table name to access the source data. Use "CSV" or "TSV" for delimited text files.

Match Column Namecolumnstring

Column name within the table to access the source data. This is a number for CSV or TSV files, starting with number 1 from the left side of the file.

Referencereferencestring

An additional column from the source table to display in the output results, such as a primary key.

Authentication

Interzoid uses API keys for authentication. When you connect your Interzoid account, Pipedream securely stores the keys so you can easily authenticate to Interzoid APIs in both code and no-code steps.

Sign in and copy your API key from the Account page

About Interzoid

AI & ML-based Data Engineering in the Cloud for better data - Connect to Cloud database tables, CSVs, etc with data workloads running entirely in the Cloud.

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