Data Management Fundamentals

Name: Data Management Fundamentals
Rating: 4.6 (47 reviews)

The art and science of data management, governance and mastery.

Highest Rated

Created bySimon Fowler

Last updated 10/2024

English

What you'll learn

Be able to articulate the scope and importance of enterprise data management.
Understand the challenges which are stopping organisations get real value from their data.
Describe solutions and approaches to overcome data challenges and become more data-driven.
Become a champion of data management best practices and achieve career advancement.
Discover the value of data governance as an enabler for data-driven innovation.

Course content

7 sections • 28 lectures • 2h 2m total length

Introduction to Data Management2:38
Discover what Data Management is and why you should care about it.
Data defined - plus its relationships to information, knowledge and wisdom2:07
Learn the dependencies between data, information, knowledge and wisdom.
The Data Lifecycle3:19
Understand the data lifecycle and the challenges this creates as data is copied and shared.
Summary of Data Management challenges1:45
Knowing the challenges means understanding why we need Data Management in the first place,
Introduction to Data Management

Introduction to Data Governance5:54
Understand the definition of Data Governance and the two big reasons why we need it.
Data as an asset1:30
Learn the biggest hurdle to Data Management initiatives failing and how this can be avoided.
Data Governance frameworks1:39
Discover the organisations which define the global standards for Data Management and how they can help define governance frameworks for your organisation.
Data Governance execution9:45
Discover three ways that Data Governance initiatives can be embedded into daily practices.
Managing unstructured file data3:38
Discover some tools and practices for managing file data.
Data Governance

Introduction to Data Quality3:41
Find out why defining data quality is so difficult and yet solving data quality problems is critical to success with using data.
Data Quality assessment2:13
Discover how successful organisations assess the quality of their data.
Data Quality improvement1:56
Start to uncover ways to improve data quality systemically, though you'll need to complete the course to fully understand how.
Metadata matters5:54
Find out what Metadata is and how without it, Data Management is impossible.
Master Data Management11:56
Possibly the most important lecture in the whole course. Its not about mastering Data Management - it's about Master Data Management.
Data Modeling7:02
Find out why getting Data Modeling wrong is the biggest reason Master Data Management projects fail. Learn about the most common types of Data Models.
Data Quality

Introduction to Data Storage8:54
Gain an overview of the data landscape which spans hardware, software, on-premises as well as cloud native solutions. Understand the continual flow of data from source systems, through data lakes and warehouses, through to the analytics tools which provide the insights needed to drive better business decisions. Buckle up because it's quite a ride.
Storage Hardware7:51
Learn where data is physically stored - after all, without this, it does not exist.
Storage Software6:36
Learn where data is logically stored - including data lakes, warehouses, lakehouses, SQL, NoSQL and Hadoop.
Cloud Native Storage4:30
Learn how cloud vendors are disrupting the data landscape with modern data stores and integrated tools.
Data Storage

Introduction to Data Protection3:03
Learn why Data Protection is such a critical activity.
RPO and RTO3:21
Not the snappiest of lecture titles but you'll be glad you completed it once you discover what it's about.
Business Continuity3:15
Business relies on applications running and data being available. In this lecture, discover some of the tools and processes needed to ensure this happens.
Data Protection
Data Archiving1:49
Do you delete unwanted or old data? I guess not, and nor does anybody else. So how can the cost of storing all data forever possibly be sustained (economically or environmentally). It can't! Learn about another way.
Data Security4:25
Get the inside track on the importance of Data Security and the tools and processes which are used to maintain it.
Data Protection

Introduction to Data Integration and Analysis2:34
We're approaching the finish line. You are almost there. This is where we complete the picture and start turning our data into wisdom and business outcomes.
Data Preparation3:21
There's always room for improvement. This is as true for our data as it is for ourselves. It's why you are here.
Data Analysis6:24
Data Analysis is arguably not part of Data Management, but it is the reason we need Data Management. Learn about the two main genres of analytics and some of the tools that successful companies are using today.
Data Integration and Analytics

Requirements

No specialist knowledge is needed.
A desire to learn and become more successful using data.

Description

This course is your stepping stone to data mastery. Whether you're a seasoned professional or a curious newcomer, you'll leave equipped with the knowledge and skills to confidently navigate the data landscape.

My name is Simon Fowler, I have been working in the data arena my whole career and I am delighted to be your guide as you start your data management journey.

You’ll learn about these Fundamentals:

Master Data Management (MDM): Demystify the core concepts of MDM, understanding how it creates a single, authoritative source of truth for your data.

Data Security Principles: Uncover essential data security practices, from access control and encryption to vulnerability management and data breach response.

Data Modeling: Learn the art and science of building blueprints for your data, ensuring efficient storage, retrieval, and analysis.

Data Backup and Recovery: Explore strategies for safeguarding your data, understanding RPO and RTO, and implementing robust backup and recovery solutions.

Data Governance: Discover why data governance is at the core of data management and how it not only protects organizations against risks (like breaches and fines), but also paves the way for trustworthy, data-driven decision making.

This introductory course will equip you with the knowledge and skills to effectively start managing, protecting, and leveraging your valuable data assets.

So, join me on this journey and unlock the immense potential of your data!

Who this course is for:

Business professionals and leaders who don't yet know the language of data.
Aspiring data management professionals.
Data users who wish to become more proficient.
Data management solution sales-people who could benefit from a better understanding of the data landscape.

Data Management Fundamentals

What you'll learn

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Course content

Introduction4 lectures • 10min

Data Governance5 lectures • 22min

Data Quality6 lectures • 33min

Data Storage4 lectures • 28min

Data Protection5 lectures • 16min

Data Integration and Analysis3 lectures • 12min

And Finally1 lecture • 1min

Requirements

Description

Who this course is for: