About

Data Integration and Interoperability is the discipline that brings data together—across systems, formats, and organisational boundaries—into a usable, coherent, and trusted whole. As defined in the DAMA-DMBOK2, it encompasses the planning, design, execution, and governance of data movement and exchange between systems in a way that preserves data integrity and enables collaboration.

Whether synchronising systems via APIs, building pipelines with ETL or ELT, or managing secure document interchange, integration is the foundation of a connected, data-driven enterprise.

This course prepares participants for the DAMA International 32512 Data Integration and Interoperability certification exam, with comprehensive coverage of technical frameworks, architectural patterns, governance structures, and practical integration strategies.

Learning Objectives

By the end of this course, participants will be able to:

Understand the principles of data integration, exchange, and interoperability from the DAMA-DMBOK2 framework

Evaluate integration models (point-to-point, hub-and-spoke, publish-subscribe, and SOA)

Design data pipelines using ETL, ELT, APIs, webhooks, and message queues

Govern integration processes for compliance, auditability, and traceability

Manage structured and unstructured data movement across platforms

Apply content lifecycle practices for media, documents, and collaborative platforms

Distinguish between synchronous and asynchronous interactions

Prepare for the DAMA International 32512 Specialist Exam in Data Integration and Interoperability

Who Is This Training Course For?

This course is designed for professionals responsible for integrating data across applications, departments, or enterprises.

Roles:

Data Integration Engineers
Enterprise and Solution Architects
API and Middleware Developers
Business Intelligence Developers
Data Governance and Compliance Officers
CDMP® candidates specialising in Integration

Industries:

Telecommunications and IoT
Finance and Banking
Government and Defence
Healthcare and Life Sciences
E-commerce and Retail
Manufacturing and Logistics

Why Should You Take This DAMA Integration Course?

Learn how to integrate data from diverse sources securely, accurately, and efficiently

Gain exam-aligned preparation for the 32512 DAMA Specialist Certification

Bridge structured, semi-structured, and unstructured content into unified workflows

Understand the strengths and use cases of various interaction models and protocols

Explore real-world use cases from APIs to enterprise service buses (ESB) and ISO 8000

Apply DAMA best practices to support digital transformation and enterprise interoperability

Prerequisites

There are no formal prerequisites for this course.

However, it is recommended that participants:

Have basic familiarity with database systems, data formats, or application development

Understand core data management concepts such as metadata, lineage, and governance

Work with or support integration, automation, or data exchange processes

This course is ideal for professionals preparing for the DAMA International 32512 certification exam or supporting integration initiatives in modern data environments.

Please note that MENA Executive Training is an independent training provider and is not affiliated with or endorsed by DAMA International. This course is intended solely to help participants prepare for the DAMA International certification examination.

Modules

Module 1: Introduction to Data Integration and Interoperability

Definitions: Data integration vs interoperability
Role in DAMA-DMBOK2 and enterprise data strategy
Why integration is critical for modern business and analytics
Real-world examples across industries

Activities:

Identify integration scenarios within your organisation
Group discussion: What does interoperability mean in your context?

Module 2: Core Concepts and Terminology

Understanding structured, semi-structured, and unstructured data
Difference between data movement, data federation, and data virtualisation
Integration vs replication vs orchestration

Activities:

Match common integration techniques to use cases
Quiz on foundational terminology

Module 3: ETL, ELT, and Data Pipelines

Extract, Transform, Load (ETL) vs ELT
Change Data Capture (CDC)
Batch vs real-time data flow
Tools overview: Informatica, Talend, Apache NiFi, Airbyte

Activities:

Design a basic data pipeline for a CRM system
Compare ETL and ELT approaches for a given scenario

Module 4: Integration Architecture Patterns

Point-to-point, Hub-and-Spoke, Publish-Subscribe
SOA and Enterprise Service Bus (ESB)
API gateways and microservices architectures

Activities:

Draw and evaluate three integration patterns for a business problem
Group critique: Benefits and drawbacks of each model

Module 5: APIs, Webhooks, and Event-Driven Integration

REST, SOAP, GraphQL APIs
Webhooks and real-time notifications
Event-driven architecture and message queues (Kafka, RabbitMQ)

Activities:

Trace a webhook-based event flow
Analyse integration timing: synchronous vs asynchronous

Module 6: Data Interchange and Standards

File-based integration (CSV, XML, JSON)
ISO 8000 and open data standards
Managing incoming formatted datasets (e.g. Excel, EDI)

Activities:

Exercise: Convert a flat file to JSON structure
Compare schema flexibility and validation

Module 7: Metadata, Lineage and Data Discovery

Metadata capture for integrated assets
Data lineage tools: tracking transformations and flow
Discovery and profiling of integration sources

Activities:

Map data lineage for a sample data movement scenario
Metadata documentation workshop

Module 8: Content and Unstructured Data Integration

Integrating media, documents, and email
Collaboration and document management platforms
Indexing, tagging, and content lifecycle

Activities:

Evaluate a content integration tool (e.g., SharePoint, Box, Alfresco)
Draft a metadata schema for unstructured content

Module 9: Governance, Compliance, and Security

Policies for integration governance and control
Encryption, RBAC, and secure API handling
Data privacy and compliance (e.g. GDPR, HIPAA, ISO 8000)

Activities:

Risk assessment: Where are your integration vulnerabilities?
Create a compliance checklist for a data exchange process

Module 10: Interoperability in Practice

Semantic interoperability and data equivalence
Internal vs external interchanges
Examples: CRM-to-ERP sync, regulatory data publication, GIS integration

Activities:

Group case study: Build a real-world interoperability map
Workshop: Resolve conflicts between equivalent data elements

Module 11: Integration Tools and Platforms

Overview: MuleSoft, Azure Data Factory, Informatica, Apache Camel, Zapier
No-code/low-code vs enterprise-grade tools
Criteria for evaluating integration platforms

Activities:

Compare three tools by business fit, scalability, and governance support
Demo walkthrough: API setup or data pipeline creation

Module 12: Advanced Topics and Trends

Real-time and streaming data integration
Interoperability for IoT, edge, and mobile
AI in integration: intelligent mapping, data matching, and orchestration

Activities:

Explore real-time use cases using Kafka or StreamSets
Group presentation: Emerging tech shaping the future of interoperability

Module 13: Preparing for the DAMA 32512 Exam

Summary of DAMA-DMBOK2 integration content
Review of question types and domain weightings
Study and time management tips

Activities:

Take a practice exam (40 questions)
Group Q&A and exam readiness discussion

Gain an Official Data Management Global Certificate

Share your credential on LinkedIn

Your certification.

Receive a verifiable certification from an accredited certifying body.

Showcase your achievement on LinkedIn and your CV.

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Exam Details

The 32512 certification exam is a specialist-level assessment offered by DAMA International. It measures a candidate’s knowledge and practical understanding of how to integrate and exchange data between systems in alignment with the DAMA-DMBOK2 framework.

This exam validates your expertise in data pipelines, APIs, ETL/ELT processes, content exchange, and the architectural and governance components needed to ensure secure, scalable, and interoperable data flows across platforms.

Exam Overview

Exam Code: 32512
Certification Body: DAMA International
Exam Type: Multiple-choice
Number of Questions: 100
Duration: 90 minutes
Passing Score: 70%
Delivery Format: Online or at authorised testing centres
Language: English

Difficulty Distribution

60% Associate level – Terminology, definitions, DMBOK-aligned concepts
20% Practitioner level – Real-world applications, tools, process knowledge
20% Master level – Architecture, interoperability strategy, and governance

Domains and Key Topics Covered

Data Integration Concepts
Definitions and goals of integration
Structured vs. unstructured data movement
Interoperability principles

Data Movement and Exchange
ETL vs. ELT strategies
Batch vs. real-time processing
Change data capture (CDC)
Streaming and event-driven integration

Interaction Models
Point-to-point
Hub-and-spoke
Publish-subscribe
SOA and Enterprise Service Bus (ESB)

APIs, Webhooks, and Messaging Protocols
REST, SOAP, GraphQL
Kafka, MQTT, JMS

Data Lineage and Metadata Management
Lineage tools and data tracing
Metadata discovery and documentation

Security and Compliance
Secure data exchange
Role-based access control and encryption
Regulatory requirements (e.g., ISO 8000, GDPR)

Content Management and Interoperability
Document, media, and email integration
Lifecycle management for content
Indexing and searchability

Tools and Technologies
Integration platforms (e.g., Informatica, Talend, MuleSoft)
Data pipeline orchestration (e.g., Apache Airflow, Azure Data Factory)
File formats and exchange protocols (e.g., JSON, XML, CSV)