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Amazon Redshift + Telegram

Send messages in Telegram for new rows in Amazon Redshift

Stay up-to-date on your Amazon Redshift database with this efficient workflow. When a new row is added in Amazon Redshift, a message will be promptly sent through Telegram, keeping you informed at all times. This automation eliminates the need for manual checking and enhances your data management strategy, improving business efficiency.

Stay up-to-date on your Amazon Redshift database with this efficient workflow. When a new row is added in Amazon Redshift, a message will be promptly sent through Telegram, keeping you informed at all times. This automation eliminates the need for manual checking and enhances your data management strategy, improving business efficiency.

  1. When this happens...
    Amazon RedshiftAmazon Redshift
    New Row

    Run a single SQL statement on your database, trigger on new rows found.

    TriggerScheduled
  2. automatically do this!
    TelegramTelegram
    Send Message

    Sends a message from your bot.

    ActionWrite
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Supported triggers and actions

What does this mean?
    • QueryRequired

    Trigger
    Scheduled
    Try It
    • TableRequired

    • Insert Into ColumnsRequired

    Action
    Write
    • TableRequired

    • Update ColumnsRequired

    • Where ColumnRequired

    • OperatorRequired

    • Value

    Action
    Write
    • TableRequired

    • Returned ColumnsRequired

    • Where ColumnRequired

    • OperatorRequired

    • Value

    • Row Limit

    Action
    Search
    • TableRequired

    • Returned ColumnsRequired

    • Updated Date ColumnRequired

    • Primary Key

    Trigger
    Scheduled
    Try It
    • TableRequired

    • ColumnRequired

    • OperatorRequired

    • ValueRequired

    Action
    Write
    • QueryRequired

    Action
    Search
    • Chat IdRequired

    • Text Format

    • Message TextRequired

    Action
    Write
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About Amazon Redshift

Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake.
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