Enhancing xAPI Data Management with Yet Analytics' SQL LRS

For developers and data engineers, Yet Analytics' SQL LRS provides a robust and flexible solution for managing xAPI learning records.

As an Apache 2.0 open source Learning Record Store built on SQL, our LRS provides significant advantages in terms of deployment, integration, and data querying capabilities.

Deployment Flexibility:

SQL LRS can be deployed on various platforms including AWS, Azure, Google Cloud, and on-premises environments. This versatility ensures that it can fit seamlessly into your existing infrastructure, regardless of where your data resides.

SQL-Based Architecture:

Launching with your choice of PostgreSQL or SQLite, SQL LRS allows for the use of standard SQL queries to interact with your xAPI data. This compatibility means that you can leverage your existing SQL knowledge and tools to perform complex data analyses and integrations. Tools like Power BI, Tableau, and custom SQL scripts can be used to extract, transform, and visualize learning data with ease.

Open Source and Extensible:

Distributed under the Apache 2.0 open source license, SQL LRS offers the flexibility to customize and extend its capabilities to meet specific organizational needs. You can contribute to the project or modify the codebase to better fit your use cases. The open source nature also ensures transparency and a view into the ongoing development of software features and improvements.

Security and Compliance:

Certified to Field on the US Air Force’s Platform One DevSecOps environment, SQL LRS adheres to stringent security standards — ensuring that your data remains protected. This level of security is crucial for organizations handling sensitive learning data.

Integration Capabilities:

SQL LRS’s ability to integrate with various business intelligence tools enables organizations to create comprehensive analytics dashboards using whichever tools they are most comfortable with. By connecting your LRS with tools like Power BI and Tableau, you can generate real-time insights and make data-driven decisions.

Onboard Conditional Logic:

Unique to SQL LRS is an onboard conditional logic machine that allows you to program the LRS to generate new xAPI data statements based on the xAPI data statements it is receiving. So, for example, you could automate the issuing of xAPI statements asserting the successful completion of an educational program or training event based on real-time analysis of the xAPI data that the LRS is receiving.

For technical documentation and to get started with SQL LRS, visit the GitHub repository. Explore how Yet Analytics' SQL LRS can revolutionize your xAPI data management and analytics processes. For support, customization, training, and ongoing maintenance for enterprise implementations, please contact us directly.