Introduction to Data Mesh

Introduction to Data Mesh

Introduction to Data Mesh

Generate value from data by adopting evolutionary mindset in a complex, volatile and constantly-changing environment

Language: english

Note: 0/5 (0 notes) 740 students  New course 

Instructor(s): Amit Ranjan

Last update: 2022-08-28

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:

  1. Respond gracefully to change and complexity

  2. Sustain agility in the face of growth

  3. Increase value of data over cost


This 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.

 

Who this course is for

  • 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

 

Course content

  • Prerequisite
    • Who this course is for
    • Prerequisite
  • Resources
    • Google Slides
  • Traditional Data Architecture
    • Evolution of Data Architectures
    • Unchallenged Assumptions
  • Need for Data Mesh
    • The Inflection Point
    • Drivers for Data Mesh
  • MyMusic Organisation
    • MyMusic
    • MyMusic Data Goal
    • MyMusic before Data Mesh
    • MyMusic Data Culture before Data Mesh
    • MyMusic Data Culture Reflections
  • What is DataMesh
    • What is Data Mesh
    • Principles of Data Mesh
    • Data Mesh Model
  • Principle of Domain Ownership
    • Principle of Domain Ownership
    • Data Domain Archetypes
    • Transition to Domain Ownership
  • Principle of Data as a Product
    • Principle of Data as a Product
    • Baseline Usability Attributes
    • Transition to Data as a Product
  • Principle of Self Serve Data Platform
    • Principle of Self Serve Data Platform
    • Comparison with Existing Setup
    • Objectives of Self Serve Data Platform
    • Transition to Self Serve Data Platform
  • Principle of Federated Governance
    • Principle of Federated Governance
    • Applying Systems Thinking
    • Applying Federation to Governance Model
    • Applying Computation to Governance Model
    • Transition to Federated Governance
  • Interplay of Data Mesh Principles
    • Interplay of Data Mesh Principles
    • Shifts Introduced by Data Mesh Principles
  • After the Inflection Point
    • After the Inflection Point
    • Respond Gracefully to Change and Complexity
    • Sustain Agility in the Face of Growth
    • Increase Value of Data over Cost
    • Data Mesh Outcomes for Organisations
  • Data Mesh Outcomes for Organisations
    • MyMusic Data Goal with Data Mesh
    • Data Mesh outcomes in MyMusic
  • Congratulations
    • Bye!

 

Introduction to Data MeshIntroduction to Data Mesh

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