Structured is continuously expanding its capabilities to support a wider range of data sources and platforms. Below are some of the future integrations we’re planning to introduce, which will allow you to bring even more data into Structured’s semantic layer, enhancing your ability to standardize and analyze your business metrics.

Snowflake

PostgreSQL

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Snowflake Integration (Planned)

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Overview

Snowflake is a highly scalable cloud data warehouse that provides robust data storage and analytics capabilities. Integrating Snowflake with Structured will allow you to pull in data directly from your Snowflake environment, enabling seamless data standardization and metric governance.

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Planned Integration Steps

  1. Integration Selection:

    • Structured will feature Snowflake in the “Integrations” section, allowing you to easily select and configure the integration.

  2. Authentication Process:

    • You will authenticate using your Snowflake account credentials, enabling Structured to securely access and query your Snowflake data.

  3. Data Selection and Syncing:

    • You’ll be able to choose specific databases, schemas, and tables within Snowflake to sync with Structured. This integration will support filtering and syncing frequency settings to ensure that the data pulled into Structured is both relevant and up-to-date.

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PostgreSQL Integration (Planned)

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Overview

PostgreSQL is a powerful, open-source relational database system that is widely used for various applications. The future integration with PostgreSQL will enable Structured to pull in data from your PostgreSQL tables, allowing you to define and manage business metrics directly from your relational databases.

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Planned Integration Steps

  1. Integration Selection:

    • PostgreSQL will appear in the “Integrations” section, where you can initiate the connection process.

  2. Database Connection:

    • You will connect Structured to your PostgreSQL database by providing the necessary credentials, including host, port, database name, and authentication details.

  3. Table and Schema Selection:

    • Once connected, you’ll be able to select specific schemas and tables within your PostgreSQL database to sync with Structured. This selection process will include options for setting up custom data filters and sync intervals to optimize data management within the semantic layer.

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Other Potential Integrations

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Conclusion

As Structured continues to grow, these future integrations will further enhance the platform’s ability to pull in diverse data sources, creating a unified semantic layer that supports reliable, consistent, and scalable business metrics. These integrations will ensure that Structured remains at the forefront of data governance and metric standardization, providing your organization with the tools needed to make data-driven decisions with confidence.

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