Data Mesh - Quick Intro For Complete Beginners

Learn what Data Mesh is, what are the key principles, best practices and the steps to implement Data Mesh

What you'll 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

Requirements

No prior experience needed. We start from the basics.

Description

**Learn quickly with my Data Mesh Course that 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 Mesh2. The 4 Key Principles of Data Mesh3. The Data Mesh Architecture4. Data Mesh tools5. Implementation of Data Mesh6. Data Mesh Best PracticesThis course will give you a deep understanding of the Data Mesh concept by using hands-on, contextual examples designed to showcase why Data Mesh can be useful and how how to implement Data Mesh principles to manage the data in your organization.In this Data Mesh course you will learn:· What is Data Mesh· Challenges of traditional data architecture· How Data Mesh solves traditional data architecture challenges· Limitations of Data Mesh· The Domain Ownership principle· Data as a Product principle· Self-Serve Data Platform principle· Federated Computational Governance principle· The Data Mesh architecture· Data Platform tools· Data Governance tools· Data Products tools· Data Mesh implementation steps· Data Mesh best practices… and a lot of tips and tricks from experience!Enroll today and enjoy:Lifetime access to the course and all future updates2 hours of high quality, up to date video lecturesPractical Data Mesh course with step by step instructions on how to implementThanks again for checking out my course and I look forward to seeing you in the classroom!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Download the course materials

Section 2: The Basics

Lecture 3 What is Data Mesh

Lecture 4 Challenges of traditional data architecture

Lecture 5 How Data Mesh solves the issues in traditional data architecture

Lecture 6 Limitations of Data Mesh

Section 3: The 4 Key Principles

Lecture 7 Intro to the 4 Key Principles

Lecture 8 Domain Ownership

Lecture 9 Data as a Product

Lecture 10 Self-Serve Data Platform

Lecture 11 Federated Computational Governance

Section 4: Data Mesh Architecture components

Lecture 12 Intro to Data Mesh Architecture components

Lecture 13 Domains - data products, data contracts, etc

Lecture 14 Self Serve Data Platform - catalog, monitoring, access, etc

Lecture 15 Federated Governance - security, documentation and other policies

Lecture 16 Supporting Team - the internal consultants

Section 5: Data Mesh tools and technology

Lecture 17 Intro

Lecture 18 Data Catalog

Lecture 19 Data Storage

Lecture 20 Data Pipelines

Lecture 21 Data Quality

Lecture 22 Data Governance

Lecture 23 APIs and Service Mesh

Lecture 24 Data visualization and reporting

Lecture 25 Collaboration and knowledge sharing

Lecture 26 Next Steps & Further Reading on choosing the correct tools

Section 6: Implementation of Data Mesh

Lecture 27 Intro to the implementation process

Lecture 28 Step 0.5 - the most important step!

Lecture 29 Step 1 - Define your Domains

Lecture 30 Step 2 - Define the methodology an scope of roll out

Lecture 31 Step 3 - Assign domain ownership

Lecture 32 Step 4 - Identify the data products and product owners

Lecture 33 Step 5 - Establish the Data Governance model

Lecture 34 Step 6 - Establish the data mesh architecture

Lecture 35 Step 7 - Create the data platform

Lecture 36 Step 8 - Data Mesh Governance and tracking success

Lecture 37 Step 9 - Further roll out and monitoring

Lecture 38 Step 10 - Continuous improvement

Section 7: Data Mesh Best Practices

Lecture 39 Best Practices to keep in mind

Section 8: Case Studies and additional resources

Lecture 40 Case Studies for further reading

Section 9: Conclusion

Lecture 41 Thank You and Next Steps

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