Tailer Documentation
  • What is Tailer Platform?
  • Getting Started
    • Prepare your local environment for Tailer
    • Install Tailer SDK
    • Set up Google Cloud Platform
    • Encrypt your credentials
  • [Tutorial] Create a first data pipeline
    • Introduction
    • Prepare the demonstration environment
    • Copy files from one bucket to another
    • Load files into BigQuery tables
    • Prepare data
    • Build predictions
    • Export data
    • Congratulations!
    • [Video] Automatic Script
      • SQL script file
      • DDL script file
      • Tables to Tables script file
      • Launch configuration and furthermore
  • Data Pipeline Operations
    • Overview
    • Set constants with Context
      • Context configuration file
    • Move files with Storage to Storage
      • Storage to Storage configuration file
    • Load data with Storage to Tables
      • Storage to Tables configuration file
      • Storage to Tables DDL files
    • Stream incoming data with API To Storage
      • API To Storage configuration file
      • API To Storage usage examples
    • Transform data with Tables to Tables
      • Tables to Tables configuration file
      • Table to Table SQL and DDL files
    • Export data with Tables to Storage
      • [V3] Table to Storage configuration file
      • Table to Storage SQL file
      • [V1-V2: deprecated] Table to Storage configuration file
    • Orchestrate processings with Workflow
      • [V2] Workflow configuration file
      • [V1: deprecated] Workflow configuration file
    • Convert XML to CSV
      • Convert XML to CSV configuration file
    • Use advanced features with VM Launcher
      • Process code with VM Launcher
        • VM Launcher configuration file for code processing
      • Encrypt/Decrypt data with VM Launcher
        • VM Launcher configuration file for data encryption
        • VM Launcher configuration file for data decryption
    • Monitoring and Alerting
      • Monitoring and alerting parameters
    • Asserting Data quality with Expectations
      • List of Expectations
    • Modify files with File Utilities
      • Encrypt/Decrypt data with File Utilities
        • Configuration file for data encryption
        • Configuration file for data decryption
    • Transfer data with GBQ to Firestore
      • Table to Storage: configuration file
      • Table to Storage: SQL file
      • VM Launcher: configuration file
      • File-to-firestore python file
  • Tailer Studio
    • Overview
    • Check data operations' details
    • Monitor data operations' status
    • Execute data operations
    • Reset Workflow data operations
    • Archive data operations
    • Add notes to data operations and runs
    • View your data catalog
    • Time your data with freshness
  • Tailer API
    • Overview
    • Getting started
    • API features
  • Release Notes
    • Tailer SDK Stable Releases
    • Tailer Beta Releases
      • Beta features
      • Beta configuration
      • Tailer SDK API
    • Tailer Status
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On this page
  • What is File Utilities?
  • ✅ Supported operations
  • PGP encryption
  • ⚙️ How it works
  • 📋 How to deploy a File Utilities data operation

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  1. Data Pipeline Operations

Modify files with File Utilities

Learn how to modify your raw data files across buckets using the File Utilities operation.

PreviousList of ExpectationsNextEncrypt/Decrypt data with File Utilities

Last updated 1 year ago

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What is File Utilities?

A File Utilities data pipeline operation allows you to modify raw data files from a Google Cloud Storage bucket: encrypt, decrypt, concat or split files.

✅ Supported operations

PGP encryption

  • Encrypt a file to .gpg

  • Decrypt a file from .gpg

More operations will be implemented and released in beta version.

⚙️ How it works

Every time a new file matching the specified rule appears in the source directory, it will be:

  • removed from the source directory,

  • transferred to another directory located in the same storage, inside a folder named with the operation on the file in success,

  • if options have been set accordingly, copied the modified file to an archive directory located in the same storage, inside a folder named as the filename date.

📋 How to deploy a File Utilities data operation

  1. Create a working folder as you want, and create a JSON file for your data operation inside.

  2. Access your working folder by running the following command:

    cd "[path to your working folder]"
  3. To deploy the data operation, run the following command:

    tailer deploy configuration your-file.json
  4. Add a file with the proper name template in the source folder.

  5. Access your output folder(s), and archive folder, if any, to check the result of the data operation.

Access your tailer folder (created during ).

Prepare your JSON configuration file. Refer to this page to learn about all the .

Log in to to check the status and details of your data operation.

💡
installation
parameters
Tailer Studio