Secoda Docs
Get Started
  • Getting Started with Secoda
    • Secoda as an Admin
      • Deployment options
      • Sign in options
      • Settings
      • Connect your data
        • Define Service Accounts
        • Choose which schemas to extract
      • Customize the workspace
      • Populate Questions with FAQs
      • Invite your teammates
        • Joining & Navigating between Multiple Workspaces
      • Onboard new users
        • Onboarding email templates
        • Onboarding Homepage template
        • Training session guide
      • User engagement and adoption
        • Tips & Tricks to share with new users
    • Secoda as an Editor
    • Secoda as a Viewer
      • Introduction guide
      • Requesting changes in Secoda
  • Best practices
    • Setting up your workspace
    • Integrating Secoda into existing workflows
    • Documentation best practices
    • Glossary best practices
    • Data governance
    • Data quality
    • Clean up your data
    • Tool migrations using Secoda
    • Slack <> Questions workflow
    • Defining resources workflow
    • Streamline data access: Private and public teams workflow
    • Exposing Secoda to external clients
  • Resource Management
    • Editing Properties
      • AI Description Editor
      • Bulk Editing
      • Propagation
      • Templates
    • Resource Sidesheet
    • Assigning Owners
    • Custom Properties
    • Tags
      • Custom Tags
      • PII Identifier
      • Verified Identifier
    • Import and Export Resources
    • Related Resources
  • User Management
    • Roles
    • Teams
    • Groups
  • Integrations
    • Integration Settings
    • Data Warehouses
      • BigQuery
        • BigQuery Metadata Extracted
      • Databricks
        • Databricks Metadata Extracted
      • Redshift
        • Redshift Metadata Extracted
      • Snowflake
        • Snowflake Metadata Extracted
        • Snowflake Costs
        • Snowflake Native App
      • Apache Hive
        • Apache Hive Metadata Extracted
      • Azure Synapse
        • Azure Synapse Metadata Extracted
      • MotherDuck
        • MotherDuck Metadata Extracted
      • ClickHouse
        • ClickHouse Metadata Extracted
    • Databases
      • Druid
        • Druid Metadata Extracted
      • MySQL
        • MySQL Metadata Extracted
      • Microsoft SQL Server
        • Page
        • Microsoft SQL Server Metadata Extracted
      • Oracle
        • Oracle Metadata Extracted
      • Salesforce
        • Salesforce Metadata Extracted
      • Postgres
        • Postgres Metadata Extracted
      • MongoDB
        • MongoDB Metadata Extracted
      • Azure Cosmos DB
        • Azure Cosmos DB Metadata Extracted
      • SingleStore
        • SingleStore Metadata Extracted
      • DynamoDB
        • DynamoDB Metadata Extracted
    • Data Visualization Tools
      • Amplitude
        • Amplitude Metadata Extracted
      • Looker
        • Looker Metadata Extracted
      • Looker Studio
        • Looker Studio Metadata Extracted
      • Metabase
        • Metabase Metadata Extracted
      • Mixpanel
        • Mixpanel Metadata Extracted
      • Mode
        • Mode Metadata Extracted
      • Power BI
        • Power BI Metadata Extracted
      • QuickSight
        • QuickSight Metadata Extracted
      • Retool
        • Retool Metadata Extracted
      • Redash
        • Redash Metadata Extracted
      • Sigma
        • Sigma Metadata Extracted
      • Tableau
        • Tableau Metadata Extracted
      • ThoughtSpot
        • ThoughtSpot Metadata Extracted
      • Cluvio
        • Cluvio Metadata Extracted
      • Hashboard
        • Hashboard Metadata Extracted
      • Lightdash
        • Lightdash Metadata Extracted
      • Preset
        • Preset Metadata Extracted
      • Superset
        • Superset Metadata Extracted
      • SQL Server Reporting Services
        • SQL Server Reporting Services Metadata Extracted
      • Hex
        • Hex Metadata Extracted
      • Omni
        • Omni Metadata Extracted
    • Data Pipeline Tools
      • Census
        • Census Metadata Extracted
      • Stitch
        • Stitch Metadata Extracted
      • Airflow
        • Airflow Metadata Extracted
      • Dagster
        • Dagster Metadata Extracted
      • Fivetran
        • Fivetran Metadata Extracted
      • Glue
        • Glue Metadata Extracted
      • Hightouch
        • Hightouch Metadata Extracted
      • Apache Kafka
        • Apache Kafka Metadata Extracted
      • Confluent Cloud
        • Confluent Cloud Metadata Extracted
      • Polytomic
        • Polytomic Metadata Extracted
      • Matillion
        • Matillion Metadata Extracted
      • Airbyte
        • Airbyte Extracted Metadata
      • Informatica
        • Informatica Metadata Extracted
      • Azure Data Factory
        • Azure Data Factory Metadata Extracted
    • Data Transformation Tools
      • dbt
        • dbt Cloud
          • dbt Cloud Metadata Extracted
        • dbt Core
          • dbt Core Metadata Extracted
      • Coalesce
        • Coalesce Metadata Extracted
    • Data Quality Tools
      • Cyera
      • Dataplex
        • Dataplex Metadata Extracted
      • Great Expectations
        • Great Expectations Metadata Extracted
      • Monte Carlo
        • Monte Carlo Metadata Extracted
      • Soda
        • Soda Metadata Extracted
    • Data Lakes
      • Google Cloud Storage
        • GCS Metadata Extracted
      • AWS S3
        • S3 Metadata Extracted
    • Query Engines
      • Trino
        • Trino Metadata Extracted
    • Custom Integrations
      • File Upload
        • CSV File Format
        • JSONL File Format
        • Maintain your Resources
      • Marketplace
        • Secoda SDK
        • Upload and Connect your Marketplace Integration
        • Publish the Integration
        • Example Integrations
      • Secoda Fields Explained
    • Security
      • Connecting via Reverse SSH Tunnel
      • Connecting via SSH Tunnel
      • Connecting via VPC Peering
      • Connecting via AWS Cross Account Role
      • Connecting via AWS PrivateLink
        • Snowflake via AWS PrivateLink
        • AWS Service via AWS PrivateLink
      • Recommendations to Improve SSH Tunnel Concurrency on SSH Bastion
    • Push Metadata to Source
  • Extensions
    • Chrome
    • Confluence
      • Confluence Metadata Extracted
      • Confluence best practices
    • Git
    • GitHub
    • Jira
      • Jira Metadata Extracted
    • Linear
    • Microsoft Teams
    • PagerDuty
    • Slack
      • Slack user guide
  • Features
    • Access Requests
    • Activity Log
    • Analytics
    • Announcements
    • Audit Log
    • Automations
      • Automations Use Cases
    • Archive
    • Bookmarks
    • Catalog
    • Collections
    • Column Profiling
    • Data Previews
    • Data Quality Score
    • Documents
      • Comments
      • Embeddings
    • Filters
    • Glossary
    • Homepage
    • Inbox
    • Lineage
      • Manual Lineage
    • Metrics
    • Monitors
      • Monitoring Use Cases
    • Notifications
    • Policies
    • Popularity
    • Publishing
    • Queries
      • Query Blocks
        • Chart Blocks
      • Extracted Queries
    • Questions
    • Search
    • Secoda AI
      • Secoda AI User Guide
      • Secoda AI Use Cases
      • Secoda AI Security FAQs
      • Secoda MCP Server
    • Sharing
    • Views
  • Enterprise
    • SAML
      • Okta SAML
      • OneLogin SAML
      • Microsoft Azure AD SAML
      • Google SAML
      • SCIM
      • SAML Attributes
    • Self-Hosted
      • Additional Resources
        • Additional Environment Variables
          • PowerBI OAuth Application (on-premise)
          • Google OAuth Application (on-premise)
          • Github Application (on-premise)
          • OpenAI API Key Creation (on-premise)
          • AWS Bucket with Access Keys (on-premise)
        • TLS/SSL (Docker compose)
        • Automatic Updates (Docker compose)
        • Backups (Docker compose)
        • Outbound Connections
      • Self-Hosted Changelog
    • SIEM
      • Google Chronicle
  • API
    • Get Started
    • Authentication
    • Example Workflows
    • API Reference
      • Getting Started
      • Helpful Information
      • Audit Logs
      • Charts
      • Collections
      • Columns
      • Custom Properties
      • Dashboards
      • Databases
      • Documents
      • Events
      • Groups
      • Integrations
      • Lineage
      • Monitors
      • Resources
      • Schemas
      • Tables
      • Tags
      • Teams
      • Users
      • Questions
      • Queries
      • Getting Started
      • Helpful Information
      • Audit Logs
      • Charts
      • Collections
      • Columns
      • Custom Properties
      • Dashboards
      • Databases
      • Documents
      • Events
      • Groups
      • Integrations
      • Lineage
      • Monitors
      • Resources
      • Schemas
      • Tables
      • Tags
      • Teams
      • Users
      • Questions
      • Queries
  • FAQ
  • Policies
    • Terms of Use
    • Secoda AI Terms
    • Master Subscription Agreement
    • Privacy Policy
    • Security Policy
    • Accessibility Statement
    • Data Processing Agreement
    • Subprocessors
    • Service Level Agreement
    • Bug Bounty Program
  • System Status
  • Changelog
Powered by GitBook
On this page
  • Getting Started with Great Expectations and Google Cloud Storage
  • Create a service account for Secoda
  • Connecting to Secoda
  • Getting Started with Great Expectations and AWS S3
  • Create a AWS IAM user for Secoda
  • Connecting to Secoda

Was this helpful?

  1. Integrations
  2. Data Quality Tools

Great Expectations

An overview of the Great Expectations integration with Secoda

Last updated 1 year ago

Was this helpful?

Secoda currently supports retrieving expectation and validation metadata from Google Cloud Storage and AWS S3.

Getting Started with Great Expectations and Google Cloud Storage

There are two steps to get started using Great Expectations with Secoda through Google Cloud Storage:

  1. Create a service account for Secoda

  2. Connect Google Cloud Storage to Secoda

Create a service account for Secoda

To provide to Secoda for extracting Big Query metadata, you can create a new service account following the steps below. Refer to for more information.

  1. From the Navigation panel on the left, go to IAM & admin > Service accounts

  2. Click Create Service Account along the top

  3. Enter a name (for example: “secoda”) and click Create

  4. When assigning permissions, make sure to grant the following roles:

Storage Object Viewer

5. . The downloaded file will be used to create your warehouse in the next section.

Connecting to Secoda

  1. From the Navigation panel on the left go Integrations > Add new integration

  2. Select Great Expectations and fill in the fields based off of the Great Expectations configuration YAML file.

  3. Make sure to upload the Great Expectations configuration YAML file.

  4. You will be asked to map each datasource outlined in your configuration file to an existing integration in Secoda.

Getting Started with Great Expectations and AWS S3

There are two steps to get started using Great Expectations with Secoda through AWS S3

  1. Create a new AWS IAM user

  2. Connect AWS S3 to Secoda

Create a AWS IAM user for Secoda

You can create an IAM user using one of three methods:

Note: Ensure that Access Key - Programmatic Access is checked.

Once you create the user you can save the Access Key ID and Secret Access Key generated for the user.

Attach the following policy to the newly created user. Make sure to change <your-bucket-name>

{
    "Statement": [
        {
            "Action": [
                "s3:PutObject",
                "s3:PutObjectAcl",
                "s3:ListBucket",
                "s3:GetObject",
                "s3:GetObjectAcl",
                "s3:DeleteObject"
            ],
            "Effect": "Allow",
            "Resource": [
                "arn:aws:s3:::<your-bucket-name>",
                "arn:aws:s3:::<your-bucket-name>/*"
            ]
        }
    ],
    "Version": "2012-10-17"
}

Connecting to Secoda

  1. From the Navigation panel on the left go Integrations > Add new integration

  2. Select Great Expectations and fill in the fields based off of the Great Expectations configuration YAML file.

  3. Make sure to upload the Great Expectations configuration YAML file.

  4. You will be asked to map each datasource outlined in your configuration file to an existing integration in Secoda.

Log into your Secoda profile at

Log into your Secoda profile at

Great Expectations Metadata Extracted
least privilege
Google Cloud’s documentation about service accounts
Create a JSON key
https://app.secoda.co
Creating IAM users (console)
Creating IAM users (AWS CLI)
Creating IAM users (AWS API)
https://app.secoda.co