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
Powered by GitBook
On this page
  • Data catalog information
  • BigQuery table list
  • View your data catalog

Was this helpful?

Edit on GitHub
  1. Tailer Studio

View your data catalog

Learn what information you can get about your BigQuery tables in Tailer Studio and where to find it.

PreviousAdd notes to data operations and runsNextTime your data with freshness

Last updated 3 years ago

Was this helpful?

Data catalog information

Tailer Studio allows you to display a number of information about the BigQuery tables obtained as a result of Tailer Platform data operations.

BigQuery table list

Tailer Studio allows you to display the list of BigQuery tables created using Tailer Platform, sorted by dataset.

Table details, such as the type, number of rows, size, and location display on each row. The Last Update column color code allows you to see at a glance if your data catalog is up-to-date. Clicking the Query button takes you directly to the Google BigQuery's Web page where you can query the table.

Table information

Tailer Studio also provides detailed information about each table. The Query button that takes you to Google BigQuery is available on this screen as well.

The following information is available:

  • Data Overview: The first 10 rows of the table are displayed here to give you a preview of its contents (unless the table contains sensitive information, in which case these are hidden).

  • Schema: Contents of the DDL file provided when creating the table.

  • Workflow: Details about the data operation execution that last updated the table.

  • Documentation: Contents of the Markdown file provided when creating the table.

  • Full JSON: JSON configuration file of the data operation through which the table was created.

  • Notes: Comments and answers can be added by users about the table in the form of conversations.

To view your data catalog:

  1. If necessary, select an account in the drop-down menu at the top of the screen.

  2. In the left navigation panel, in the Data catalog section, select a Google Cloud Platform project.

  3. Click the Table name link corresponding to the BigQuery table of your choice

  4. Browse the different tabs to display the information that you want.

View your data catalog

Log in to .

👀
Tailer Studio
📚