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BCS Data Management Essentials

Price
2,297 USD
4 Days
T7-BCSDME
Online Training
BCS Training and Certification - 0

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Course Description

Overview

Are you a data management practitioner, an IT or IS manager or a business manager? Would you like to learn the skills and techniques to be able to implement an industry standard, best practice approach to data management? If the answer to those questions is ‘yes’, then our BCS Certificate in Data Management Essentials course is perfect for you.

During the bcs data management essentials course you will look at the development of procedures for managing corporate data and what’s required for the administration of data and database administration. You’ll also look at data and enterprise, data quality and current data management themes – and you’ll learn all this through short, focused lecture sessions, in which we’ll encourage you to share problems and issues you may have faced.

During this four day course you’ll receive all the training you need to prepare for the BCS Data Management Essentials certificate exam, this is a written exam and must be sat at a training venue.

A pass in this module will contribute to the BCS International Diploma in Business Analysis.


 

Objectives

During the course you will look at the development of procedures for managing corporate data and what’s required for the administration of data and database administration.

You’ll also look at data and enterprise, data quality and current data management themes – and you’ll learn all this through short, focused lecture sessions, in which we’ll encourage you to share problems and issues you may have faced.


 

Audience

The course is aimed at data management practitioners, IT or IS managers or business managers.


 

Prerequisites

    No entry requirements for this course


     

Topics

  • Introduction
  • Data and the enterprise
  • What is data management?
  • Database architecture
    • Data Modelling
    • Why we model data
    • Basic data modelling concepts
    • Drawing entity-relationship diagrams
    • Finding attributes and domains
      • Data Analysis
      • Data Analysis
      • An introduction to normalisation
        • Corporate Data Modelling
        • Corporate conceptual data modelling
        • Data definition, naming and ownership
        • Metadata
        • Data quality
          • Data and Repository Administration
          • Database administration
          • Repository administration
            • Data Management in practice
            • The management of data management
            • The data management environment
            • Current data management themes

 
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