Introduction To Data Mesh

Generate value from data by adopting evolutionary mindset in a complex, volatile and constantly-changing environment
What you'll learn
Understand why current data architectures are not scalable
Know the shifts data mesh introduces to respond gracefully to change and complexity
The promise and principles of data mesh
Practical examples and tips on implementing the data mesh
Requirements
Being open to the ideas and new ways of solving the problem of analytical data management
An inquisitive mind
No programming experience is needed
No prior industry experience is needed
If you have seen, built or experienced any data pipeline before, you'll be able to relate, but that is not a requirement for this course
Description
A monolithic architecture, technology, and organizational structure are not suitable for analytical data management of large-scale and complex organizations.Many enterprises are investing in their next generation data lake, with the hope of democratizing data at scale to provide business insights and ultimately make automated intelligent decisions. Data platforms based on the data lake architecture have common failure modes that lead to unfulfilled promises at scale. To address these failure modes we need to shift from the centralized paradigm of a lake, or its predecessor data warehouse. We need to shift to a paradigm that draws from modern distributed architecture: considering domains as the first class concern, applying platform thinking to create self-serve data infrastructure, and treating data as a product.We've started to see returns of investment over data to plateau, and data teams getting stressed with the challenges of generating value from the data.Data mesh is that shift in the mindset which aims and promises to:Respond gracefully to change and complexitySustain agility in the face of growthIncrease value of data over costThis illustrative course gives you finer understanding of the principles of data mesh, along with the practical examples and tips on implementing the data mesh.We'll also look into one real world situation as how the data culture in an organisation got transformed with data mesh.
Overview
Section 1: Prerequisite
Lecture 1 Who this course is for
Lecture 2 Prerequisite
Section 2: Resources
Lecture 3 Google Slides
Section 3: Traditional Data Architecture
Lecture 4 Evolution of Data Architectures
Lecture 5 Unchallenged Assumptions
Section 4: Need for Data Mesh
Lecture 6 The Inflection Point
Lecture 7 Drivers for Data Mesh
Section 5: MyMusic Organisation
Lecture 8 MyMusic
Lecture 9 MyMusic Data Goal
Lecture 10 MyMusic before Data Mesh
Lecture 11 MyMusic Data Culture before Data Mesh
Lecture 12 MyMusic Data Culture Reflections
Section 6: What is DataMesh
Lecture 13 What is Data Mesh
Lecture 14 Principles of Data Mesh
Lecture 15 Data Mesh Model
Section 7: Principle of Domain Ownership
Lecture 16 Principle of Domain Ownership
Lecture 17 Data Domain Archetypes
Lecture 18 Transition to Domain Ownership
Section 8: Principle of Data as a Product
Lecture 19 Principle of Data as a Product
Lecture 20 Baseline Usability Attributes
Lecture 21 Transition to Data as a Product
Section 9: Principle of Self Serve Data Platform
Lecture 22 Principle of Self Serve Data Platform
Lecture 23 Comparison with Existing Setup
Lecture 24 Objectives of Self Serve Data Platform
Lecture 25 Transition to Self Serve Data Platform
Section 10: Principle of Federated Governance
Lecture 26 Principle of Federated Governance
Lecture 27 Applying Systems Thinking
Lecture 28 Applying Federation to Governance Model
Lecture 29 Applying Computation to Governance Model
Lecture 30 Transition to Federated Governance
Section 11: Interplay of Data Mesh Principles
Lecture 31 Interplay of Data Mesh Principles
Lecture 32 Shifts Introduced by Data Mesh Principles
Section 12: After the Inflection Point
Lecture 33 After the Inflection Point
Lecture 34 Respond Gracefully to Change and Complexity
Lecture 35 Sustain Agility in the Face of Growth
Lecture 36 Increase Value of Data over Cost
Lecture 37 Data Mesh Outcomes for Organisations
Section 13: Data Mesh Outcomes for Organisations
Lecture 38 MyMusic Data Goal with Data Mesh
Lecture 39 Data Mesh outcomes in MyMusic
Section 14: Congratulations
Lecture 40 Bye!
Data Scientists,Data Engineers,Data Leaders,Data Managers,Data executives,Application Engineers,Analytical Data Users,Infrastructure Product Owners,Infrastructure Architects,Infrastructure Engineers,Data Governance Engineers


Homepage

https://www.udemy.com/course/introduction-to-data-mesh/

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