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Data Management Masterclass - The Complete Course

Data Management Masterclass - The Complete Course

Practical Data Management Course. Learn the best practices and specifics for every Data Management subject area (CDMP)

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50.000 VND
85 VND
Đầy Đủ Bài Giảng
Học Online Tiện Lợi
Kích Hoạt Nhanh 2-5 Phút
Thanh toán tự động
Được phép tải xuống

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Nội dung khoá học

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Mô tả

Learn quickly with my Data Management Course that covers the latest best practices from the Data Industry. Great way to start preparing for your Certified Data Management Professional (CDMP) exam.

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. It does not matter if you are looking to get CDMP certification or just improve your data knowledge, this course will help you!


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

  • 10 hours of high quality, up to date video lectures

  • Practical Data Management course with step by step instructions on how to implement the different techniques

Thanks again for checking out my course and I look forward to seeing you in the classroom!

Bạn sẽ học được gì

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

Yêu cầu

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

Nội dung khoá học

15 sections

Introduction

2 lectures
Introduction
03:06
How to get the most out of this course
02:48

Module 1 - The Basics

3 lectures
What is Data Management
02:07
Data Management Subject Areas
07:33
[QUIZ] Data Management Basics
2 questions

Module 2 - Data Governance

6 lectures
What is Data Governance
02:42
Why is Data Governance Important?
08:14
Examples of what can go wrong without Data Governance
05:39
Data Governance Core Principles
06:51
Data Governance Roles and Responsibilities
09:43
[QUIZ] Data Governance
5 questions

Module 3 - Data Architecture

8 lectures
What is Data Architecture
02:30
Data Architecure Example
06:21
Data Architecture Principles
06:10
Data Architecture main components
04:35
Data Architecture Frameworks
04:18
Data Architecture Best Practices
06:55
Data Architecture Roles
07:35
[QUIZ] Data Architecture
6 questions

Module 4 - Data Modeling and Design

10 lectures
What is Data Modeling
02:19
Difference between Data Architecture and Data Modeling
04:41
The 3 Levels of Data Models
02:35
Conceptual Data Model
04:04
Logical Data Model
02:36
Physical Data Model
02:26
Data Modeling Process
06:50
Benefits of Data Modeling
04:45
Data Modeling Tools
09:07
[QUIZ] Data Modeling
4 questions

Module 5 - Data Storage and Operations

6 lectures
What is data storage and operations
03:07
Why is data storage management important
03:58
What daily storage management actually involves
03:44
The 4 key attributes of Data Storage Management
04:54
Best Practices to keep in mind
10:49
[QUIZ] Data Storage and Operations
4 questions

Module 6 - Data Security

15 lectures
What is Data Security
02:02
Why is Data Security important
04:30
Types of Data Security
04:27
Data Security Risks Intro
00:54
Accidental Data Exposure
02:24
Phishing
03:18
Malware
04:26
Insider Threats
04:55
Password Attack
02:42
Denial-of-Service
02:29
Man-in-the-Middle (MITM)
01:42
SQL Injections
01:29
Zero-day Exploit
01:53
Best Practices for better Data Security
06:53
[QUIZ] Data Security
5 questions

Module 7 - Data Integration

16 lectures
What is Data Integration
01:14
Example of Data Integration
04:15
Importance of Data Integration
08:53
Techniques for Data Integration
02:00
Manual Data Integration
04:18
Middleware Data Integration
02:41
Application Based Integration
02:31
Uniform Access Integration
03:15
Common Storage Integration (Data Warehousing)
04:51
Data Virtulization
02:14
ETL
02:01
ELT
02:01
ETL vs ELT
03:45
Data Integration Tools
04:43
Data Integration Best Practices
06:25
[QUIZ] Data Integration
5 questions

Module 8 - Document and Content Management

7 lectures
What is Document and Content Management
01:36
Why do we need Document & Conent Management?
04:10
DMS (Document Management System)
06:33
CMS (Content Management System)
06:41
ECMS (Enterprise Content Management System)
06:04
Best Content Solutions to choose from
06:24
[QUIZ] Document and Content Management
3 questions

Module 9 - Master & Reference Data Management

19 lectures
What is Master Data
02:17
Example of how Master Data works
07:53
What is Reference Data
01:39
Example of Reference Data
05:15
Master Data vs Reference data - how to differentiate
03:49
Master Data Management (MDM)
02:10
Why is Master Data Management (MDM) needed/important?
13:01
How to Implement Master Data Management (MDM) - Step by Step
03:15
Step 1.1 - Master Data Management Capabilities
07:17
Step 1.2 - Master Data Management Implementation Styles
08:54
Step 1.3 - Master Data Management Domains
08:55
Step 2 - Your current data environment
05:16
Step 3 - Define your business goals
05:13
Step 4 - Secure the right sponsorship
04:03
Step 5.1 - Get the right team
05:06
Step 5.2 - Get the right tool
06:07
Step 6 - Implement a quick win
04:18
Step 7 - Implement and Monitor
04:01
[QUIZ] Master Data
5 questions

Module 10 - Metadata Management

11 lectures
What is Metadata
00:58
Example of Metadata
02:14
What is Metadata Management
01:41
Why do we need to manage metadata?
08:22
Types of metadata Intro
00:59
Descriptive metadata
02:46
Structural metadata
02:55
Administrative metadata
03:07
Metadata Management tools
06:05
Implementing Metadata Management
10:32
[QUIZ] Metadata
3 questions

Module 11 - Data Quality

18 lectures
What is Data Quality
03:00
What is Data Quality Management
05:32
Cost of Poor Data Quality
05:38
Data Quality Dimensions
01:54
Data Accuracy
06:43
Data Validity
03:51
Data Timeliness
03:53
Data Completeness
05:56
Data Uniqueness
03:34
Data Consistency
04:42
Data Quality Improvement Process Intro
01:07
Data Quality Improvement Process 1
06:51
Data Quality Improvement Process 2
02:39
Data Quality Improvement Process 3
03:45
Data Quality Improvement Process 4
08:50
Data Quality Improvement Process 5
05:05
Data Quality Improvement Process 6
03:50
[QUIZ] Data Quality
5 questions

Module 12 - Data Warehousing and Business Intelligence

24 lectures
What is Data Warehousing and Business Intelligence
03:16
How Data Warehousing and BI work together
05:46
Data Warehouse
02:00
Data Warehouse Components
04:31
Database vs Data Warehouse
08:02
Data Marts
03:08
Data Warehouses vs Data Lakes
04:44
What is Business Intelligence?
02:26
Business Intelligence vs Business Analytics
04:16
Applications of Business Intelligence
10:01
Examples of Business Intelligence
07:44
BI analysis categories - Descriptive, Diagnostic, Predictive, Presriptive
06:26
Creating a Business Intelligence Strategy intro
01:06
BI Strategy Step 1 - Get Sponsorship
03:43
BI Strategy Step 2 - The BI team
04:01
BI Strategy Step 3 - Stakeholders
04:52
BI Strategy Step 4 - BI platforms and tools
04:02
BI Strategy Step 5 - Define the scope
04:57
BI Strategy Step 6 - The Roadmap
03:36
BI Strategy Step 7 - Implementation
04:44
BI and big data
03:36
The importance of self-service within Business Intelligence
07:17
Business Intelligence Tools
04:24
[QUIZ] Data Warehousing and BI
3 questions

Practice Test

1 lectures
Practice Test
15 questions

What Next

2 lectures
Thank You
01:13
Bonus Lecture
00:55

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