Data Management for Beginners Main Principles

Data Management for Beginners – Main Principles, available at $49.99, has an average rating of 4.3, with 56 lectures, 8 quizzes, based on 51 reviews, and has 200 subscribers.

You will learn about What Data Management and Data Governance are Which are the main Data Management principles and what is their importance The steps involved towards transitioning to a data-driven Organization Useful tips on how to create and nurture an efficient Data Management culture within your organization Define the roles and responsibilities of: Data Owner, Data Steward and Data Custodian Learn about the principles of Data Policy, Data Quality, Data Security, Data Redundancy and High Availability, Data Compliance and Data Auditing Additional knowledge on specialized Data Management topics such as Data Security Best Practices This course is ideal for individuals who are Data Governance Analysts and Managers or Data Professionals such as: Data Analysts, Data Architects and Database Administrators or IT Managers or Information Security Analysts It is particularly useful for Data Governance Analysts and Managers or Data Professionals such as: Data Analysts, Data Architects and Database Administrators or IT Managers or Information Security Analysts.

Enroll now: Data Management for Beginners – Main Principles

Summary

Title: Data Management for Beginners – Main Principles

Price: $49.99

Average Rating: 4.3

Number of Lectures: 56

Number of Quizzes: 8

Number of Published Lectures: 56

Number of Published Quizzes: 8

Number of Curriculum Items: 64

Number of Published Curriculum Objects: 64

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 Data Management and Data Governance are

Which are the main Data Management principles and what is their importance

The steps involved towards transitioning to a data-driven Organization

Useful tips on how to create and nurture an efficient Data Management culture within your organization

Define the roles and responsibilities of: Data Owner, Data Steward and Data Custodian

Learn about the principles of Data Policy, Data Quality, Data Security, Data Redundancy and High Availability, Data Compliance and Data Auditing

Additional knowledge on specialized Data Management topics such as Data Security Best Practices

Who Should Attend

Data Governance Analysts and Managers

Data Professionals such as: Data Analysts, Data Architects and Database Administrators

IT Managers

Information Security Analysts

Target Audiences

Data Governance Analysts and Managers

Data Professionals such as: Data Analysts, Data Architects and Database Administrators

IT Managers

Information Security Analysts

People and data are the two most important assets in any organization. By properly maintaining accurate and secure data, along with inspiring people within the organization to realize the value of data, the organization can reach to data-driven decisions more easily and thus meet its strategic goals in a more efficient manner. 

Data Management, provides the set of principles and guidelines for reaching the above goals, as it sets the framework for properly managing data during its full lifecycle.   

This course can help you with this journey, that is to help you learn which are the main Data Management principles and what is their importance, along with learning useful tips for creating and nurturing a Data Management culture within the organization. Moreover, via this course, you will learn more about the transition process towards becoming a data-driven organization.

WHAT OTHER STUDENTS SAY ABOUT THE COURSE:

“Really helped before starting my new job”

“Very good and informative overview of this very large topic.”

“Excellent Course !!! This course helped me to further develop my skills in Data Management world !!”

“Very useful course. I like the way the instructor explains all aspects of data management in simple words.”

WHAT IS THIS COURSE ALL ABOUT?

This course has been carefully designed, in order to help you learn the main principles of Data Management and Data Governance, in a structured, step by step manner. To this end, we will begin the course with some introductory concepts, such as, what Data Management and Data Governance are.

We will then proceed to the main section of the course, via which, you will learn what are the main Data Management Principles, as well as what are their main characteristics. After that, we will be discussing about, how you can create and nurture a Data Management culture within the organization.

Next, in the section that follows, we will discuss about the benefits of becoming data-driven, as well as, we will discuss about the different steps involved in the transition journey, towards becoming a data-driven organization.

Last but not least, the course has  been enriched with two additional modules, via which you can learn more about Relational Database Management Systems (RDBMSs) and advanced Data Security topics.

Besides the lectures, the course also features many useful quizzes, infographics and a major practice test in the end of the course, all of which will help you understand the main Data Management concepts and set of practices.

So join me into a journey of exploring the world of Data Management!

AFTER THE COURSE:

You will know what Data Management and Data Governance are

You will know which are the main Data Management principles and what is their importance

You will know useful tips on how to create and nurture an efficient Data Management culture within your organization

You will know more about the transition process, towards becoming a data-driven organization

You will have acquired additional knowledge on specialized Data Management topics, such as Relational Database Management Systems, Data Security Best Practices and other advanced Data Security topics.

PREREQUISITES:

This course has no requirements and it is suitable for all levels

THIS COURSE CONTAINS/OFFERS:

3 hours of high-quality video lectures

Downloadable resources with section recaps and infographics

Quizzes in the end of each section

A major practice test in the end of the course

Ability to ask the instructor questions via the Q&A section

Certificate on course completion

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome to the Course! What Will you Learn?

Lecture 2: What is Data Management?

Lecture 3: Data Management vs. Data Governance

Lecture 4: Section Recap

Chapter 2: Data Management Principles

Lecture 1: Section Overview

Lecture 2: Data Policy

Lecture 3: Data Ownership

Lecture 4: Data Stewardship

Lecture 5: Data Custodianship

Lecture 6: Data Documentation and Metadata

Lecture 7: Data Quality

Lecture 8: Data Security

Lecture 9: Data Redundancy and High Availability

Lecture 10: Data Compliance

Lecture 11: Data Auditing

Lecture 12: Section Recap

Chapter 3: The Human Factor in Data Management

Lecture 1: Section Overview

Lecture 2: The Importance of the Human Factor in Data Management

Lecture 3: How to Establish an Effective Data Management Culture

Lecture 4: Section Recap

Chapter 4: The Transition Journey to Becoming a Data-Driven Organization

Lecture 1: Section Overview

Lecture 2: Benefits of Becoming Data-Driven

Lecture 3: Set the Long-Term Objectives

Lecture 4: Cultivate the Proper Team of Data Leaders

Lecture 5: Involve People in Each Step of the Transition Process

Lecture 6: Integrate Data from all Sources – Big Data Integration

Lecture 7: Adopt Technology for Success

Lecture 8: Set and Monitor the Necessary Key Performance Indicators (KPIs)

Lecture 9: Section Recap

Chapter 5: Additional Module: Relational Database Management Systems (Updated)

Lecture 1: Overview

Lecture 2: What are Relational Database Management Systems?

Lecture 3: What can you do with SQL Server?

Lecture 4: Databases, Tables and Other Objects in SQL Server RDBMS

Lecture 5: SQL vs T-SQL: What’s the Difference?

Lecture 6: How to Model Database Creation with the Model System Database in SQL Server

Lecture 7: Section Recap

Chapter 6: Additional Module: Advanced Data Security Topics (Updated)

Lecture 1: Section Overview

Lecture 2: Data Security Best Practices

Lecture 3: Defense in Depth

Lecture 4: Static Code Analysis

Lecture 5: Database Row-Level Security

Lecture 6: Data Security vs. Data Privacy

Lecture 7: What is Access Control in Data Management?

Lecture 8: Section Recap

Chapter 7: Special Topics (Updated)

Lecture 1: Section Overview

Lecture 2: Data Management vs. Master Data Management

Lecture 3: Case Study: Dynamic Data Masking in SQL Server Database Management System

Lecture 4: Case Study: Transparent Data Encryption (TDE) in SQL Server

Lecture 5: Case Study: Enabling SSL Certificate-Based Encryption for a SQL Server Instance

Lecture 6: Differences Between Batch and Streaming Data

Lecture 7: What are Non-Relational Databases?

Lecture 8: What is Data Science?

Lecture 9: Introduction to Data Ethics (New)

Lecture 10: Data Visualization Techniques and Tools

Chapter 8: Putting it All Together

Lecture 1: What you’ve Learned in this Course

Chapter 9: Learning More

Lecture 1: Bonus Lecture

Instructors

Artemakis Artemiou
Award-Winning Database & AI Expert, Trainer, Author, Speaker

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 12 votes

4 stars: 13 votes

5 stars: 25 votes

Frequently Asked Questions

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