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Preparation for Certified Data Management Professional (CDMP) Certificate

5 Days
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Management

Preparation for Certified Data Management Professional (CDMP) Certificate

The British Academy for Training and Development offers the Certified Data Management Professional (CDMP) - Virtual Learning Training Course. The course examines various issues dealing with Data Management Basics, Data Governance core principles with good practices, In that area, attendees will understand in-depth Data Governance and Quality to manage data concerning the organisational standards. Newly added in the course are Data Architecture and Data Modeling, which emphasize strongly structural and organisational issues of data management. Attendees will also explore the processes of Data Integration and Interoperability, which allow seamless data flow across systems. Another area discussed in this course is Master Data Management (MDM), which defines how to manage critical business data across different systems. The closely allied subject is Metadata Management, which helps organise and utilise data better. Data Security and Privacy is another focus area, giving an insight into the protection of sensitive data and the regulations that are to be accommodated. Finally, the course will touch upon Data Analytics and Business Intelligence in terms of the opportunities for data to contribute better informed decisions.  By the end of this course, attendees are conscious of implementing data management strategies in any organisation.

Preparation for Certified Data Management Professional (CDMP) Certificate

Overview

Course Objectives

Objective:

The objective of Certified Data Management Professional (CDMP) training course are:

To offer strong knowledge of Data Management principles and practices. To provide the concepts of Data Governance, Data Quality, Data Architecture, and Data Security. To enable attendees to apply Data Integration, Master Data Management, and Metadata Management effectively. To develop expertise in Data Analytics and Business Intelligence to enhance organisational decision-making. Understand all elements of the DMBoK areas, including: Goals and Principles, Organisation and Culture, Activities, Deliverables, Practices and Techniques, Technology, and Roles and Responsibilities.Prepare for the CDMP Data Management Fundamentals examination.

Target Audience

This training is designed for:

Data professionals, Data Analyst, Data Scientist, and Data Engineer.IT managers, business analysts, and decision-makers who want to improve their data handling processes.Those who want to enhance their qualification and knowledge in Data Management and related fields.Organisations that want to train their employees in the modern Data Governance, Analytics, and Security practices.

Course Outline

Introduction to Data Management

  • Overview of Data Management

  • Key principles and frameworks in Data Management

  • Understanding the role of data in modern organizations

Data Governance and Quality

  • Data Governance Framework

  • Ensuring data accuracy, completeness, and consistency

  • Implementing data quality management systems

Data Architecture

  • Fundamentals of Data Architecture

  • Designing scalable and effective data systems

  • Tools and techniques for Data Architecture

Data Modeling

  • Importance of Data Modeling in management

  • Types of Data Models: Conceptual, Logical, and Physical

  • Best practices for Data Modeling

Data Integration and Interoperability

  • Integration of different data sources

  • Managing data flow across systems

  • Ensuring system interoperability

Master Data Management (MDM)

  • Overview of MDM concepts

  • Centralized vs. decentralized MDM

  • Implementing MDM strategies

Metadata Management

  • Importance of Metadata in Data Management

  • Techniques for effective Metadata management

  • Using Metadata to improve data governance

Data Security and Privacy

  • Protecting sensitive data

  • Data security regulations and compliance (GDPR, CCPA)

  • Techniques to secure data assets

Data Analytics and Business Intelligence

  • Leveraging data for strategic decision-making

  • Tools for Business Intelligence (BI)

  • Introduction to data analytics in the business context

Schedule & Fees

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Course Info
5 Days
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