Integration & Interoperability:
How to get more from your DHIS2 data

‍Date:
February 18, 2025
from 9:00 AM - 5:00 PM EST
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‍Location:
Amazon Web Services (AWS) Skills Center Arlington
1550-G Crystal Dr, Arlington, VA 22202

Course description

This training course provides a comprehensive introduction to data integration and interoperability using your DHIS2 data, and focuses on both theoretical concepts and practical applications. Participants will learn the importance of integrating DHIS2 data within one DHIS2 instance, with other DHIS2 instances, and with other systems, such as data warehouses and business intelligence tools, to enhance data analytics and operational efficiency.
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This course covers key integration methods, including ETL/ELT processes and middleware solutions. Through hands-on sessions, participants will learn how to use DHIS2’s Aggregate Data Exchange App to integrate data within one DHIS2 instance with other DHIS2 instances. It will also cover the process of integrating DHIS2 with external systems. Real-world use cases will be explored, providing participants with practical skills to manage data exchange and maintain data integrity.
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Additionally, the course offers a framework for planning integration projects, covering requirements gathering, strategy design, and common challenges. Through discussions and Q&A, participants will leave with actionable insights tailored to their specific integration needs. Please note this course will be taught using the most recent version of DHIS2 (v41).

This course includes:

• Insightful presentations explaining the key concepts of data integration and interoperability
• Guided, visual demonstrations of the functionality and features of DHIS2’s system maintenance tools and needs
• Hands-on exercises to apply key concepts, maximize learning and gain practical experience
• Access to training materials and DHIS2 integration resources to support your on-going work in DHIS2
• Certificate of completion to share your achievement

Prerequisites

Intermediate knowledge of DHIS2’s three data models and configuration is essential.

Participants should be familiar with the foundational concepts and terminology in DHIS2.