Data Management Fundamentals by MENA Executive Training

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Certified Course

Total Number of Sessions: 5

Total Duration: 40 Hours

Program Overview

It is specifically designed for individuals seeking to establish a strong professional foundation in the field of Data Management.

Who Should Attend

Project / Program Managers
IT Consultants
Business Analysts
Application Architects
Solution Architects
Information Architects
Data & Enterprise Architects

Business Intelligence & Data Warehouse developers & architects
Data Modellers
Developers
Data Analysts
Data Governance Managers
Data Quality Managers
Information Quality Practitioners

Exam(s) Details

Data Management Fundamentals Certificate

Participating in this course will provide learners with a robust foundation to excel in the Certified Data Management Professional (CDMP) - Data Management Fundamentals Exam.As an additional benefit of this training, participants will have access to carefully crafted practice questions that are specifically designed to prepare them for CDMP certification exam. These questions not only reinforce the learning material but also provide a realistic simulation of the exam environment, enhancing the participants' readiness and confidence for the actual test. This feature is an invaluable tool for those aiming to achieve certification in data management.

Available languages:English

Course Prerequisite

No prior education or work experience required.

Course Outline

Day 1: Introduction to Data Management and Data Governance

Day 2: Data Quality Management and Master Data Management
• Dive into Data Quality Management principles
• Learn about Master and Reference Data Management

Day 3: Data Warehousing and Business Intelligence
• Gain insights into Data Warehousing
• Explore Business Intelligence Management

Day 4: Data Modeling and Metadata Management
• Understand the intricacies of Data Modeling
• Delve into Metadata Management strategies

Day 5: Data Security, Storage, and Integration
• Learn about Data Security Management
• Explore Data Storage and Operations Management
• Understand Data Integration and Interoperability