# Unizin Data Platform
The Unizin Data Platform (UDP) is a data platform product that integrates, aggregates, cleans, and models all teaching and learning data. It generates a unified portrait of learners in the context of their learning environments and provides a layer of data services to drive analytics, data science, and research, enabling institutions to build effective data-driven practices at scale. The Unizin Data Platform (UDP) is a cloud-native, single-tenant architecture solution that integrates and warehouses data from the Student Information System (SIS), Learning Management System (LMS), and LMS-integrated tools. | [**Key Concepts**](https://resources.unizin.org/products/data-and-analytics/unizin-data-platform/key-concepts) | [**Data Standards**](https://resources.unizin.org/products/data-and-analytics/unizin-data-platform/key-concepts/data-models) | [**Data Integrations**](https://resources.unizin.org/products/data-and-analytics/unizin-data-platform/data-integrations) | | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |

Understand the fundamentals of how the UDP aggregates and normalizes learning data to serve a learning analytics ecosystem. The section describes the key features of the UDP and the ideas that inform its technical design. If you are new to the UDP, we strongly recommend that you begin with the Key concepts section.

  1. Platform overview
  2. Data categories
  3. Data models
  4. Loading schemas
  5. Keymap
|

The UDP supports two data standards: (1) 1EdTech Caliper, (2) Unizin Common Data Model (UCDM). The two data standards are complementary and enable the UDP to consolidate all teaching and learning data together.

|

Understand how to create two kinds of UDP data integrations: context data integrations and behavior data integrations.

Any individual responsible for configuring or creating SIS, LMS, or Learning tool integrations to the UDP will find this section essential.

  1. Context data integrations
  2. Behavior data integrations
  3. SIS data integrations
  4. LMS data integration
| ### [**System overview**](https://resources.unizin.org/products/data-and-analytics/unizin-data-platform/system-overview) The Unizin Data Platform (UDP) is primarily composed of two data pipelines. Each data pipeline creates and maintains the data lakes and data marts that undergird the UDP's data services. There exists one data pipeline for each [learning data category](https://resources.unizin.org/products/data-and-analytics/unizin-data-platform/key-concepts/data-categories) integrated by the Unizin Data Platform (context data and behavior data). 1. [Context data pipeline](https://resources.unizin.org/products/data-and-analytics/unizin-data-platform/system-overview/context-data-pipeline) 2. [Event data pipeline](https://resources.unizin.org/products/data-and-analytics/unizin-data-platform/system-overview/event-data-pipeline) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://resources.unizin.org/products/data-and-analytics/unizin-data-platform.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.