Welcome to the Certification Data Management Professional Canadian Study Group—Your Pathway to CDMP Certification!

About the Program

The CDMP Canadian Study Group is a structured, 10-week study program designed for international data professionals looking to earn their Certified Data Management Professional (CDMP) certification. We collaborate with DAMA chapters across Canada to provide expert-led study sessions, valuable resources, and peer support.

The sessions will be led by global experts in the field of Data Management who will not only review the material but share their wealth of knowledge.

Program Duration
10 Weeks

Location
Virtual (Led by DAMA Vancouver)

DAMA Member Fees
$150 CAD

Non-Member Fees
$250 CAD

Student/Unemployed
$50 CAD

Join us today and start your journey toward CDMP certification! Choose your chapter and register:

Program Sessions

Each week of the study group is designed to cover essential topics aligned with the CDMP exam, ensuring a comprehensive understanding of data management principles.

NOTE: All Session Times are in Mountain Standard Time (MST).

  • Data Management:

    Kick off your CDMP journey with a comprehensive introduction to the world of Data Management! This session sets the foundation, exploring the core concepts, key principles, and the essential role data plays in modern organizations.

  • Data Ethics:

    Explore the ethical responsibilities surrounding data collection, usage, and sharing. Learn how to promote transparency, fairness, and accountability in data practices.

    Data Governance:

    Discover the frameworks and roles that ensure data is well-managed, compliant, and aligned with business goals. This session will highlight governance strategies that empower organizations to treat data as a valuable asset.

  • Data Architecture:

    Understand the blueprint of your data environment. Learn how to design scalable, flexible architectures that align with organizational goals and support modern data needs.

    Data Modeling:

    Master the art of representing data relationships and structures. This session covers conceptual, logical, and physical data models and how they support high-quality data management.

  • Data Storage and Operations:

    Learn the strategies and technologies that keep your data stored, accessible, and performing efficiently. We’ll explore data lifecycle management, backups, and operational best practices.

    Data Integration and Interoperability:

    Enable systems to work in harmony. This session dives into integration techniques and interoperability principles that allow seamless data sharing across diverse platforms.

  • Data Quality:

    Data you can trust is the key to informed decisions. Learn how to measure and improve data quality using industry best practices, and ensure your data is accurate, complete, and timely.

    Document and Content Management:

    Manage unstructured data with confidence. This session covers how to organize, store, secure, and govern business documents and digital content effectively.

  • Metadata Management:

    Unlock the hidden value of metadata—your data’s context. Learn how to catalog, manage, and leverage metadata to improve discoverability, governance, and overall data literacy.

  • Data Warehousing and Business Intelligence:

    Transform raw data into powerful insights. Explore how data warehousing supports analytics and how BI tools empower decision-makers with meaningful reports and dashboards.

  • Data Security:

    Protect what matters. This session focuses on how to secure data through access controls, encryption, and risk mitigation to maintain privacy and compliance.

    Reference and Master Data Management:

    Ensure consistency across your systems. Learn how to manage critical reference and master data domains—such as customers and products—for accuracy, governance, and synchronization.

  • Big Data and Data Science:

    Explore cutting-edge tools and methods to process and analyze large, complex data sets. This session introduces you to the world of data science, big data platforms, machine learning, and predictive analytics.

  • Maturity Assessment:

    Gauge your organization’s data maturity. Learn how to assess capabilities, identify areas for growth, and set the stage for long-term data excellence.

    Change Management:

    Turn strategy into action. This session explores how to lead change effectively, drive adoption of data initiatives, and build a data-driven culture that lasts.

Meet Our Speakers

  • Eric Dressler

    Eric Dressler is the Head of Data and AI at Parkland Corporation, where he leads the company’s data strategy and AI initiatives to drive business value across fuel supply, retail, and logistics.

  • Marco Aurélio Medina de Oliveira

    Marco de Oliveira is a strategic data leader with over 20 years of experience architecting and leading Data Management, Governance, and Analytics functions across industries such as Banking, Government, Insurance, Tourism, Technology, Higher Education, and Real Estate Development.

  • Mona Elyes

    Mona Elyes is a natural leader and highly skilled IT Consultant with over 30 years driving technological transformations across a wide range of industries and disciplines.

    She is passionate about delivering high-quality, scalable solutions that drive business growth and success.

  • Olga Maleyev

    With years of experience in the IT industry, Olga Maleyev specializes in database architecture, data management, and enterprise solutions that help businesses make smarter, data-driven decisions. She has a strong background in database administration, data governance, modelling.

  • Kewal Dhariwal

    Kewal has taught and organized curriculum for numerous companies, universities, governments and colleges throughout the world. 

    He has numerous professional and academic credentials and has managed large and small organizations in Canada and the USA.

  • Marc Nolte

    Marc Nolte has three decades of experience in solutions architecture, service management, data modeling, product development and systems design in the computer hardware, software and energy industries.

  • Mainur Rahman

    Mainur Rahman is a seasoned Data Engineer and Machine Learning Engineer with a proven track record of translating complex data into actionable solutions. He is passionate about harnessing the power of data to drive insights and innovation.

  • Rania Waseef

    Rania Waseef is a Business and Digital Transformation expert with over 15 years of experience in data governance, change management, project management, business analysis, process improvement, and analytics. Rania leads enterprise innovation initiatives and develops professional training programs focused on digital and business transformation, as well as data governance. As a Principal-level certified data governance professional, she actively contributes to the data community through education, mentorship, and volunteer leadership.

  • Dan Myers

    Dan Myers

    Dan Myers (MBA, IQCP) is the principal educator for Data Quality Matters, a specialized business consultancy focused on information and data quality learning. Previously, Dan worked as an applications developer, data modeler, and manager of data governance/data quality.

  • Evgeniya Makarova

    Evgeniya Makarova is a Senior Enterprise Data Architect with a strong background in data modeling, governance, and analytics. With a Master’s degree in Applied Mathematics and Informatics, she has built a career designing scalable, high-quality data platforms for data-driven organizations.

  • Malcolm Hawker

    Malcolm Hawker is the CDO of Profisee and is a thought leader in the fields of Data Strategy, Master Data Management (MDM), and Data Governance. As a former Gartner analyst, Malcolm has authored industry-defining research and has consulted some of the largest businesses in the world on their enterprise data and analytics strategies.

  • Abdul Farra

    Abdul Farra is a seasoned Enterprise Data Architect and IT leader focused on Data & Analytics (D&A) digital transformation. With over 25 years of experience and deep expertise in enterprise data architecture, Abdul blends technical innovation with business strategy to create modern, scalable data ecosystems that deliver measurable outcomes.

Why Join?

Structured Live Weekly Sessions: Cover all CDMP domains.
Flexible Learning: Choose your preferred DAMA chapter to join.
Exam Strategies: Practice questions and exam readiness tips.
Networking: Connect with peers across the world.

Don't miss this opportunity to get certified and elevate your data career! Register today, spots are limited.

How It Works

Follow the Steps Below to Get Started:

Step 1: Choose Your Chapter
Step 2: Register & Pay
Step 3: Attend Live Weekly Study Sessions (Every Monday from 5:30 PM - 8:00 PM MST)
Step 4: Write the Exam and get Certified!

Each session will include lecture-style presentations, real-world applications, and interactive discussions, led by experienced professionals in the field.

Are you ready to level up your data career with the CDMP certification? Join professionals across Canada in our structured, expert-led sessions to ensure exam success!

Review the schedule and learn more about each session.

NOTE: All Session Times are in Mountain Standard Time (MST).

Program Calendar

Participating Chapters