Data Management Masterclass The Complete Course

Practical Data Management Course. Learn the best practices and specifics for every Data Management subject area
Data Management Masterclass The Complete Course
File Size :
2.78 GB
Total length :
10h 9m



George Smarts


Last update




Data Management Masterclass The Complete Course

What you’ll learn

What is Data Management from A to Z
All the different Data Management subject areas
Best Practices on Data Management from the Industry
How to implement Data Management practices within your organization

Data Management Masterclass The Complete Course


You do not need prior knowledge since we are starting from the basics


**Learn quickly with my Data Management Course that covers the latest best practices from the Data Industry**The course is structured in such a way that makes it easy for absolute beginners to get started! Every Data Management subject area is covered in a separate course section where we will cover all you need to know in terms of processes, people, technology and best practices.This course will give you a deep understanding of the Data Management discipline by using hands-on, contextual examples designed to showcase why Data Management is important and how how to use Data Management principles to manage the data in your organization.In this Data Management course you will learn:· What is Data Management· The different Data Management Subject Areas· Data Governance· Data Architecture· Data Modeling and Design· Data Storage and Operations· Data Security· Data Integration· Document and Content Management· Master & Reference Data Management· Metadata Management· Data Quality· Data Warehousing and Business Intelligence… and a lot of tips and tricks from 10+ years of experience!Enroll today and enjoy:Lifetime access to the course and all future updates10 hours of high quality, up to date video lecturesPractical Data Management course with step by step instructions on how to implement the different techniquesThanks again for checking out my course and I look forward to seeing you in the classroom!


Section 1: Introduction

Lecture 1 Introduction

Lecture 2 How to get the most out of this course

Section 2: Module 1 – The Basics

Lecture 3 What is Data Management

Lecture 4 Data Management Subject Areas

Section 3: Module 2 – Data Governance

Lecture 5 What is Data Governance

Lecture 6 Why is Data Governance Important?

Lecture 7 Examples of what can go wrong without Data Governance

Lecture 8 Data Governance Core Principles

Lecture 9 Data Governance Roles and Responsibilities

Section 4: Module 3 – Data Architecture

Lecture 10 What is Data Architecture

Lecture 11 Data Architecure Example

Lecture 12 Data Architecture Principles

Lecture 13 Data Architecture main components

Lecture 14 Data Architecture Frameworks

Lecture 15 Data Architecture Best Practices

Lecture 16 Data Architecture Roles

Section 5: Module 4 – Data Modeling and Design

Lecture 17 What is Data Modeling

Lecture 18 Difference between Data Architecture and Data Modeling

Lecture 19 The 3 Levels of Data Models

Lecture 20 Conceptual Data Model

Lecture 21 Logical Data Model

Lecture 22 Physical Data Model

Lecture 23 Data Modeling Process

Lecture 24 Benefits of Data Modeling

Lecture 25 Data Modeling Tools

Section 6: Module 5 – Data Storage and Operations

Lecture 26 What is data storage and operations

Lecture 27 Why is data storage management important

Lecture 28 What daily storage management actually involves

Lecture 29 The 4 key attributes of Data Storage Management

Lecture 30 Best Practices to keep in mind

Section 7: Module 6 – Data Security

Lecture 31 What is Data Security

Lecture 32 Why is Data Security important

Lecture 33 Types of Data Security

Lecture 34 Data Security Risks Intro

Lecture 35 Accidental Data Exposure

Lecture 36 Phishing

Lecture 37 Malware

Lecture 38 Insider Threats

Lecture 39 Password Attack

Lecture 40 Denial-of-Service

Lecture 41 Man-in-the-Middle (MITM)

Lecture 42 SQL Injections

Lecture 43 Zero-day Exploit

Lecture 44 Best Practices for better Data Security

Section 8: Module 7 – Data Integration

Lecture 45 What is Data Integration

Lecture 46 Example of Data Integration

Lecture 47 Importance of Data Integration

Lecture 48 Techniques for Data Integration

Lecture 49 Manual Data Integration

Lecture 50 Middleware Data Integration

Lecture 51 Application Based Integration

Lecture 52 Uniform Access Integration

Lecture 53 Common Storage Integration (Data Warehousing)

Lecture 54 Data Virtulization

Lecture 55 ETL

Lecture 56 ELT

Lecture 57 ETL vs ELT

Lecture 58 Data Integration Tools

Lecture 59 Data Integration Best Practices

Section 9: Module 8 – Document and Content Management

Lecture 60 What is Document and Content Management

Lecture 61 Why do we need Document & Conent Management?

Lecture 62 DMS (Document Management System)

Lecture 63 CMS (Content Management System)

Lecture 64 ECMS (Enterprise Content Management System)

Lecture 65 Best Content Solutions to choose from

Section 10: Module 9 – Master & Reference Data Management

Lecture 66 What is Master Data

Lecture 67 Example of how Master Data works

Lecture 68 What is Reference Data

Lecture 69 Example of Reference Data

Lecture 70 Master Data vs Reference data – how to differentiate

Lecture 71 Master Data Management (MDM)

Lecture 72 Why is Master Data Management (MDM) needed/important?

Lecture 73 How to Implement Master Data Management (MDM) – Step by Step

Lecture 74 Step 1.1 – Master Data Management Capabilities

Lecture 75 Step 1.2 – Master Data Management Implementation Styles

Lecture 76 Step 1.3 – Master Data Management Domains

Lecture 77 Step 2 – Your current data environment

Lecture 78 Step 3 – Define your business goals

Lecture 79 Step 4 – Secure the right sponsorship

Lecture 80 Step 5.1 – Get the right team

Lecture 81 Step 5.2 – Get the right tool

Lecture 82 Step 6 – Implement a quick win

Lecture 83 Step 7 – Implement and Monitor

Section 11: Module 10 – Metadata Management

Lecture 84 What is Metadata

Lecture 85 Example of Metadata

Lecture 86 What is Metadata Management

Lecture 87 Why do we need to manage metadata?

Lecture 88 Types of metadata Intro

Lecture 89 Descriptive metadata

Lecture 90 Structural metadata

Lecture 91 Administrative metadata

Lecture 92 Metadata Management tools

Lecture 93 Implementing Metadata Management

Section 12: Module 11 – Data Quality

Lecture 94 What is Data Quality

Lecture 95 What is Data Quality Management

Lecture 96 Cost of Poor Data Quality

Lecture 97 Data Quality Dimensions

Lecture 98 Data Accuracy

Lecture 99 Data Validity

Lecture 100 Data Timeliness

Lecture 101 Data Completeness

Lecture 102 Data Uniqueness

Lecture 103 Data Consistency

Lecture 104 Data Quality Improvement Process Intro

Lecture 105 Data Quality Improvement Process 1

Lecture 106 Data Quality Improvement Process 2

Lecture 107 Data Quality Improvement Process 3

Lecture 108 Data Quality Improvement Process 4

Lecture 109 Data Quality Improvement Process 5

Lecture 110 Data Quality Improvement Process 6

Section 13: Module 12 – Data Warehousing and Business Intelligence

Lecture 111 What is Data Warehousing and Business Intelligence

Lecture 112 How Data Warehousing and BI work together

Lecture 113 Data Warehouse

Lecture 114 Data Warehouse Components

Lecture 115 Database vs Data Warehouse

Lecture 116 Data Marts

Lecture 117 Data Warehouses vs Data Lakes

Lecture 118 What is Business Intelligence?

Lecture 119 Business Intelligence vs Business Analytics

Lecture 120 Applications of Business Intelligence

Lecture 121 Examples of Business Intelligence

Lecture 122 BI analysis categories – Descriptive, Diagnostic, Predictive, Presriptive

Lecture 123 Creating a Business Intelligence Strategy intro

Lecture 124 BI Strategy Step 1 – Get Sponsorship

Lecture 125 BI Strategy Step 2 – The BI team

Lecture 126 BI Strategy Step 3 – Stakeholders

Lecture 127 BI Strategy Step 4 – BI platforms and tools

Lecture 128 BI Strategy Step 5 – Define the scope

Lecture 129 BI Strategy Step 6 – The Roadmap

Lecture 130 BI Strategy Step 7 – Implementation

Lecture 131 BI and big data

Lecture 132 The importance of self-service within Business Intelligence

Lecture 133 Business Intelligence Tools

Section 14: What Next

Lecture 134 Thank You

Lecture 135 Bonus Lecture

Data Professionals that want to gain complete understanding of Data Management,Managers that need to understand the principles of Data Management,Anyone that wants to have a complete understanding of Data Management

Course Information:

Udemy | English | 10h 9m | 2.78 GB
Created by: George Smarts

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