Data Management Masterclass – The Complete Course

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: How to get the most out of this course

Chapter 2: Module 1 – The Basics

Lecture 1: What is Data Management

Lecture 2: Data Management Subject Areas

Chapter 3: Module 2 – Data Governance

Lecture 1: What is Data Governance

Lecture 2: Why is Data Governance Important?

Lecture 3: Examples of what can go wrong without Data Governance

Lecture 4: Data Governance Core Principles

Lecture 5: Data Governance Roles and Responsibilities

Chapter 4: Module 3 – Data Architecture

Lecture 1: What is Data Architecture

Lecture 2: Data Architecure Example

Lecture 3: Data Architecture Principles

Lecture 4: Data Architecture main components

Lecture 5: Data Architecture Frameworks

Lecture 6: Data Architecture Best Practices

Lecture 7: Data Architecture Roles

Chapter 5: Module 4 – Data Modeling and Design

Lecture 1: What is Data Modeling

Lecture 2: Difference between Data Architecture and Data Modeling

Lecture 3: The 3 Levels of Data Models

Lecture 4: Conceptual Data Model

Lecture 5: Logical Data Model

Lecture 6: Physical Data Model

Lecture 7: Data Modeling Process

Lecture 8: Benefits of Data Modeling

Lecture 9: Data Modeling Tools

Chapter 6: Module 5 – Data Storage and Operations

Lecture 1: What is data storage and operations

Lecture 2: Why is data storage management important

Lecture 3: What daily storage management actually involves

Lecture 4: The 4 key attributes of Data Storage Management

Lecture 5: Best Practices to keep in mind

Chapter 7: Module 6 – Data Security

Lecture 1: What is Data Security

Lecture 2: Why is Data Security important

Lecture 3: Types of Data Security

Lecture 4: Data Security Risks Intro

Lecture 5: Accidental Data Exposure

Lecture 6: Phishing

Lecture 7: Malware

Lecture 8: Insider Threats

Lecture 9: Password Attack

Lecture 10: Denial-of-Service

Lecture 11: Man-in-the-Middle (MITM)

Lecture 12: SQL Injections

Lecture 13: Zero-day Exploit

Lecture 14: Best Practices for better Data Security

Chapter 8: Module 7 – Data Integration

Lecture 1: What is Data Integration

Lecture 2: Example of Data Integration

Lecture 3: Importance of Data Integration

Lecture 4: Techniques for Data Integration

Lecture 5: Manual Data Integration

Lecture 6: Middleware Data Integration

Lecture 7: Application Based Integration

Lecture 8: Uniform Access Integration

Lecture 9: Common Storage Integration (Data Warehousing)

Lecture 10: Data Virtulization

Lecture 11: ETL

Lecture 12: ELT

Lecture 13: ETL vs ELT

Lecture 14: Data Integration Tools

Lecture 15: Data Integration Best Practices

Chapter 9: Module 8 – Document and Content Management

Lecture 1: What is Document and Content Management

Lecture 2: Why do we need Document & Conent Management?

Lecture 3: DMS (Document Management System)

Lecture 4: CMS (Content Management System)

Lecture 5: ECMS (Enterprise Content Management System)

Lecture 6: Best Content Solutions to choose from

Chapter 10: Module 9 – Master & Reference Data Management

Lecture 1: What is Master Data

Lecture 2: Example of how Master Data works

Lecture 3: What is Reference Data

Lecture 4: Example of Reference Data

Lecture 5: Master Data vs Reference data – how to differentiate

Lecture 6: Master Data Management (MDM)

Lecture 7: Why is Master Data Management (MDM) needed/important?

Lecture 8: How to Implement Master Data Management (MDM) – Step by Step

Lecture 9: Step 1.1 – Master Data Management Capabilities

Lecture 10: Step 1.2 – Master Data Management Implementation Styles

Lecture 11: Step 1.3 – Master Data Management Domains

Lecture 12: Step 2 – Your current data environment

Lecture 13: Step 3 – Define your business goals

Lecture 14: Step 4 – Secure the right sponsorship

Lecture 15: Step 5.1 – Get the right team

Lecture 16: Step 5.2 – Get the right tool

Lecture 17: Step 6 – Implement a quick win