Data Management Masterclass The Complete Course

Data Management Masterclass – The Complete Course, available at $84.99, has an average rating of 4.52, with 135 lectures, 13 quizzes, based on 3195 reviews, and has 19586 subscribers.

You will learn about 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 This course is ideal for individuals who are Data Professionals that want to gain complete understanding of Data Management or Managers that need to understand the principles of Data Management or Anyone that wants to have a complete understanding of Data Management It is particularly useful for Data Professionals that want to gain complete understanding of Data Management or Managers that need to understand the principles of Data Management or Anyone that wants to have a complete understanding of Data Management.

Enroll now: Data Management Masterclass – The Complete Course

Summary

Title: Data Management Masterclass – The Complete Course

Price: $84.99

Average Rating: 4.52

Number of Lectures: 135

Number of Quizzes: 13

Number of Published Lectures: 135

Number of Published Quizzes: 13

Number of Curriculum Items: 148

Number of Published Curriculum Objects: 148

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

Learnquickly withmy Data Management Coursethat 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 whyData Management is important and howhow 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 hoursof high quality, up to date video lectures

Practical Data Management coursewith 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!

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

Instructors

George Smarts
Use software to become a productivity superstar

Rating Distribution

1 stars: 24 votes

2 stars: 48 votes

3 stars: 313 votes

4 stars: 1163 votes

5 stars: 1655 votes

Frequently Asked Questions

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