Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1000.75 MB | Duration: 2h 29m
Learn what Data Mesh is, what are the key principles, best practices and the steps to implement Data Mesh
Free Download 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
Homepage
https://www.udemy.com/course/learn-data-mesh-the-complete-course/
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