Data Mesh – quick intro for complete beginners

Data Mesh – quick intro for complete beginners, available at $59.99, has an average rating of 4.53, with 42 lectures, 5 quizzes, based on 703 reviews, and has 4010 subscribers.

You will learn about Understand what Data Mesh actually is Understand the differences between Data Mesh and Traditional Data Architecture Understand the benefits and limitations of Data Mesh Understand the implementation steps Prepare for meetings and job interviews that may include the topic of Data Mesh Understand the best practices to keep in mind What are the key features and tools in Data Mesh This course is ideal for individuals who are Any data professional looking to understand what Data Mesh actually is or Business and technology leaders that need to undersand what Data Mesh and whether it will fit their organization needs or Anyone that wants to undertand what Data Mesh is and how it is implemented It is particularly useful for Any data professional looking to understand what Data Mesh actually is or Business and technology leaders that need to undersand what Data Mesh and whether it will fit their organization needs or Anyone that wants to undertand what Data Mesh is and how it is implemented.

Enroll now: Data Mesh – quick intro for complete beginners

Summary

Title: Data Mesh – quick intro for complete beginners

Price: $59.99

Average Rating: 4.53

Number of Lectures: 42

Number of Quizzes: 5

Number of Published Lectures: 42

Number of Published Quizzes: 5

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 47

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Understand what Data Mesh actually is
Understand the differences between Data Mesh and Traditional Data Architecture
Understand the benefits and limitations of Data Mesh
Understand the implementation steps
Prepare for meetings and job interviews that may include the topic of Data Mesh
Understand the best practices to keep in mind
What are the key features and tools in Data Mesh

Who Should Attend

Any data professional looking to understand what Data Mesh actually is
Business and technology leaders that need to undersand what Data Mesh and whether it will fit their organization needs
Anyone that wants to undertand what Data Mesh is and how it is implemented

Target Audiences

Any data professional looking to understand what Data Mesh actually is
Business and technology leaders that need to undersand what Data Mesh and whether it will fit their organization needs
Anyone that wants to undertand what Data Mesh is and how it is implemented

Learnquickly withmy Data Mesh Coursethat 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! The course is divided into 6 logical sections that makes it really easy to grasp the concept of Data Mesh:

1. The Basics of Data Mesh

2. The 4 Key Principles of Data Mesh

3. The Data Mesh Architecture

4. Data Mesh tools

5. Implementation of Data Mesh

6. Data Mesh Best Practices

This course will give you a deep understanding of the Data Mesh concept by using hands-on, contextual examples designed to showcase whyData Mesh can be useful and howhow to implement Data Mesh principles to manage the data in your organization.

In this Data Mesh course you will learn:

1. What is Data Mesh

2. Challenges of traditional data architecture

3. How Data Mesh solves traditional data architecture challenges

4. Limitations of Data Mesh

5. The Domain Ownership principle

6. Data as a Product principle

7. Self-Serve Data Platform principle

8. Federated Computational Governance principle

9. The Data Mesh architecture

10. Data Platform tools

11. Data Governance tools

12. Data Products tools

13. Data Mesh implementation steps

14. Data Mesh best practices

and a lot of tips and tricks from experience!

Enroll today and enjoy:

Lifetime access
2.5 hoursof high quality, up to date video lectures
Practical Data Mesh coursewith step by step instructions on how to implement

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: Download the course materials

Chapter 2: The Basics

Lecture 1: What is Data Mesh

Lecture 2: Challenges of traditional data architecture

Lecture 3: How Data Mesh solves the issues in traditional data architecture

Lecture 4: Limitations of Data Mesh

Chapter 3: The 4 Key Principles

Lecture 1: Intro to the 4 Key Principles

Lecture 2: Domain Ownership

Lecture 3: Data as a Product

Lecture 4: Self-Serve Data Platform

Lecture 5: Federated Computational Governance

Chapter 4: Data Mesh Architecture components

Lecture 1: Intro to Data Mesh Architecture components

Lecture 2: Domains – data products, data contracts, etc

Lecture 3: Self Serve Data Platform – catalog, monitoring, access, etc

Lecture 4: Federated Governance – security, documentation and other policies

Lecture 5: Supporting Team – the internal consultants

Chapter 5: Data Mesh tools and technology

Lecture 1: Intro

Lecture 2: Data Catalog

Lecture 3: Data Storage

Lecture 4: Data Pipelines

Lecture 5: Data Quality

Lecture 6: Data Governance

Lecture 7: APIs and Service Mesh

Lecture 8: Data visualization and reporting

Lecture 9: Collaboration and knowledge sharing

Lecture 10: Next Steps & Further Reading on choosing the correct tools

Chapter 6: Implementation of Data Mesh

Lecture 1: Intro to the implementation process

Lecture 2: Step 0.5 – the most important step!

Lecture 3: Step 1 – Define your Domains

Lecture 4: Step 2 – Define the methodology an scope of roll out

Lecture 5: Step 3 – Assign domain ownership

Lecture 6: Step 4 – Identify the data products and product owners

Lecture 7: Step 5 – Establish the Data Governance model

Lecture 8: Step 6 – Establish the data mesh architecture

Lecture 9: Step 7 – Create the data platform

Lecture 10: Step 8 – Data Mesh Governance and tracking success

Lecture 11: Step 9 – Further roll out and monitoring

Lecture 12: Step 10 – Continuous improvement

Chapter 7: Data Mesh Best Practices

Lecture 1: Best Practices to keep in mind

Chapter 8: Case Studies and additional resources

Lecture 1: Case Studies for further reading

Chapter 9: Conclusion

Lecture 1: Thank You and Next Steps

Lecture 2: Bonus Lecture

Instructors

George Smarts
Use software to become a productivity superstar

Rating Distribution

1 stars: 0 votes
2 stars: 11 votes
3 stars: 62 votes
4 stars: 280 votes
5 stars: 350 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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