CDMA
DATA MANAGEMENT MASTERCLASS
DAMA Training Course – Two Flexible Learning Tracks
Dama Kenya in collaboration with Pathways Technologies
Monday to Friday from 7:00 AM to 8:00 PM (10 Days)
Saturday 8:00 AM to 1:00 PM (4 Weeks)
This course is designed to offer a deep exploration of the vital principles and
practices that are key to effective data management. This course provides a comprehensive overview of data management disciplines and demonstrates how to use data to enhance strategic decision-making, operational performance, and regulatory compliance.
Perfect for:
- Technical/IT professionals
- BI engineers
- Data/Business analysts
- Project managers
- Data Governance Professionals
By the end of this course, participants will have gained;
- Foundational knowledge in data management
By the end of this course, participants will have gained;
- Understanding of prominent disciplines including data governance, data quality management, data modeling, master data management, data warehousing, and business intelligence.
- Ability to use cutting-edge tools and technologies used in data management.
- Skills to apply principles learned in the course through real-world case studies for a holistic understanding of data management in a business setting.
- Mastery in architecting and executing effective data management strategies.
- Enhanced ability to utilize data for strategic decision-making and improving operational performance within an organization.
- Improved knowledge of how to use data management to enhance regulatory compliance.
Weekday Virtual Classes:
Monday to Friday from 7:00 AM to 8:00 PM (10 Days)
Registration ongoing
KES 30,000
Full Course
Weekend Physical Classes:
Saturday 8:00 AM to 1:00 PM (4 Weeks)
Registration ongoing
KES 50,000
Full Course
DAMA Training Course – Two Flexible Learning Tracks
Monday to Friday from 7:00 AM to 8:00 PM (10 Days)
Saturday 8:00 AM to 1:00 PM (4 Weeks)
This course is designed to offer a deep exploration of the vital principles and
practices that are key to effective data management. This course provides a comprehensive overview of data management disciplines and demonstrates how to use data to enhance strategic decision-making, operational performance, and regulatory compliance.
Perfect for:
- Technical/IT professionals
- BI engineers
- Data/Business analysts
- Project managers
- Data Governance Professionals
We recommend that attendees of this course have the following prerequisites:
- Foundational knowledge in data management
Dama Kenya in collaboration with Pathways Technologies
Rating
Few Slots Available
$225
Full Course
Course Outline
WEEKEND SCHEDULE 8:00AM - 12:45PM
| Time | Topic | Description |
|---|---|---|
| 8:00AM – 10:00AM | Intro to Data Mgmt / Data Architecture / Data Operations | Core principles of data management, systems design, and operational best practices. |
| 10:00AM – 11:00AM | Metadata Management | Strategies for managing metadata and understanding its role in big data ecosystems. |
| 11:00AM – 12:00PM | Governance / Quality / Master Data / Security | Key areas including governance frameworks, data accuracy, master data integration, and compliance. |
| 12:00PM – 12:45PM | Exam Preparation | Consolidated review and tips to succeed in the DAMA certification exam. |
WEEKDAY SCHEDULE 7:00AM - 8:00PM
| Day | Topic | Description |
|---|---|---|
| Day 1 | CDMA Data Management Masterclass | Overview of data management, DAMA’s role, frameworks, and benefits of efficient data handling. |
| Day 2 | Introduction to Data Management | Foundations of data management, its importance in business, and how it creates value. |
| Day 3 | Exam Preparation | Review and preparation for certification assessment. |
| Day 4 | Data Governance | Principles, roles, strategies, and governance office’s business alignment. |
| Day 5 | Exam Preparation | Continued review and mock test discussions. |
| Day 6 | Data Architecture & Data Lifecycle | Types, components, and management of data architecture and lifecycle stages. |
| Day 7 | Data Quality Management | Dimensions, policies, and technologies for ensuring high data quality. |
| Day 8 | Data Operations Management | Best practices in database design, security, and operational management. |
| Day 9 | Exam Preparation | Final review and readiness check for certification exam. |
| Day 10 | Advanced Topics | Master Data, Metadata, Data Warehousing, BI, Big Data, Privacy, Security & Risk. |
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