Data Mesh Demystified

Mastering Data Mesh: Building Scalable, Decentralized Data Architectures for Modern Organizations

What you'll learn

Understand Data Mesh Principles: Explain key principles like Domain Ownership, Data as a Product, and Federated Governance in Data Mesh.

Compare Traditional Data Architectures vs. Data Mesh: Identify how Data Mesh solves challenges of traditional architectures, such as scalability and data silos.

Design and Implement a Self-Serve Data Platform: Build a self-serve platform for teams to access and manage data autonomously within your organization.

Data Governance and Quality Practices Implement governance and data quality management in a decentralized Data Mesh environment to ensure security and complianc

Requirements

There are no strict prerequisites for taking this course, making it accessible for both beginners and experienced professionals. However, having the following skills or knowledge will be beneficial: Basic Understanding of Data Concepts: Familiarity with basic data concepts like databases, data storage, and data management will help grasp the more advanced concepts of Data Mesh. Experience with Data Architecture (Optional): Some experience with data architecture, data warehouses, or data pipelines would make it easier to understand the comparisons between traditional systems and Data Mesh. Comfort with Technology and Cloud Platforms (Optional): Having a general understanding of cloud platforms like AWS, Azure, or GCP is helpful, especially when discussing the tools and technologies used in Data Mesh. Eagerness to Learn: Most importantly, a willingness to learn new concepts and explore modern data architectures is all you really need!

Description

In today’s fast-paced world, organizations are generating more data than ever before, and traditional data architectures often struggle to keep up. Data Mesh is a revolutionary approach to data management that decentralizes ownership, promotes scalability, and enables cross-team collaboration. This course will guide you through the foundational concepts, practical tools, and real-world strategies to implement Data Mesh within your organization.Throughout the course, you will learn:The challenges of traditional data architectures and how Data Mesh solves themThe core principles of Data Mesh, including Domain Ownership and Data as a ProductHow to design and build a Self-Serve Data Platform that empowers teams to access and manage data autonomouslyHow to implement data governance and ensure high data quality in a decentralized systemPractical steps to deploy Data Mesh within your organization, including tracking success and continuous improvementThis course combines theoretical knowledge with practical examples and step-by-step guides, making it perfect for data architects, engineers, IT leaders, and anyone looking to modernize their data infrastructure. By the end of the course, you will have the tools and knowledge to design scalable, decentralized data architectures using Data Mesh principles.Whether you are new to Data Mesh or an experienced professional, this course will provide you with actionable insights to transform the way your organization handles data.Join me to unlock the potential of Data Mesh and take your data strategy to the next level!

Overview

Section 1: Introduction

Lecture 1 Welcome

Section 2: Introduction to Data Mesh

Lecture 2 What is Data Mesh?

Lecture 3 Traditional Data Architecture Challenges

Lecture 4 How Data Mesh Solves These Challenges

Lecture 5 Benefits of Adopting Data Mesh

Section 3: Core Principles of Data Mesh

Lecture 6 Introduction to the Four Key Principles

Lecture 7 Domain Ownership

Lecture 8 Data as a Product

Lecture 9 Self-Serve Data Platform

Lecture 10 Federated Computational Governance

Section 4: Data Mesh Architecture and Components

Lecture 11 Overview of Data Mesh Architecture

Lecture 12 Domain Teams and Their Roles

Lecture 13 Data Products

Lecture 14 Self-Serve Data Platform in Detail

Lecture 15 Federated Governance in Practice

Section 5: Tools & Technologies for Data Mesh Implementation

Lecture 16 Introduction to Data Mesh Tools

Lecture 17 Data Storage Solutions in Data Mesh

Lecture 18 Data Pipelines and ETL Tools

Lecture 19 APIs and Service Mesh for Data Exchange

Lecture 20 Data Visualization and Reporting

Section 6: Data Governance and Data Quality in Data Mesh

Lecture 21 Introduction to Data Governance in Data Mesh

Lecture 22 Implementing Data Governance Policies

Lecture 23 Data Quality Management in a Decentralized System

Lecture 24 Monitoring and Continuous Improvement of Data Quality

Section 7: Implementing Data Mesh in Your Organization

Lecture 25 Step-by-Step Implementation Guide

Lecture 26 Defining Data Products and Governance Structures

Lecture 27 Building the Self-Serve Data Platform

Lecture 28 Tracking Success and Continuous Improvement

Section 8: Conclusion

Lecture 29 Thank You!

Data Architects and Engineers: Professionals responsible for designing and building data systems will find this course valuable as it explores modern Data Mesh architectures, providing insights into scaling and decentralizing data management.,Business Intelligence (BI) Professionals: Those working in BI roles who want to understand how Data Mesh can improve data access and collaboration across departments will benefit from learning how to implement decentralized data governance and self-serve platforms.,Data Governance and Quality Specialists: Professionals focused on data governance and quality will gain a deeper understanding of how Data Mesh addresses challenges around data compliance, quality, and security in a decentralized environmen,IT Leaders and Decision Makers: IT managers and leaders seeking to modernize their organization’s data architecture and improve collaboration across teams will find this course helpful for evaluating Data Mesh as a solution.,Learners New to Data Mesh Concepts: If you're curious about new approaches to data architecture, particularly Data Mesh, and want to learn how to apply it in real-world settings, this course provides an accessible introduction.