Data Mesh - Domain-Oriented Data

Timezone: Europe, Amsterdam
Monday	October 17	15:00 - 19:00
Tuesday	October 18	15:00 - 19:00
Monday	October 24	15:00 - 19:00
Tuesday	October 25	15:00 - 19:00
Thursday	October 27	15:00 - 19:00

Timezone: America, New York
Monday	October 17	09:00 - 13:00
Tuesday	October 18	09:00 - 13:00
Monday	October 24	09:00 - 13:00
Tuesday	October 25	09:00 - 13:00
Thursday	October 27	09:00 - 13:00

The workshop consists of 3 parts:

Foundation: October 17 + 18
- Required for all participants.
Architecture: October 24 + 25
- Aimed at technical product managers, solution architects, data infrastructure engineers, technology leaders, and practitioners.
Execution and Strategy: October 27
- Aimed at data executives, data strategists, program managers, and influencers.

Foundation is required for all participants, and you can optionally mix & match Architecture and Execution & Strategy

Data Mesh - Multi-component Tutorial

This Data Mesh tutorial is a comprehensive, hands-on and immersive experience, designed and presented by the founder of Data Mesh, Zhamak Dehghani. It's offered in multiple parts to give you a complete and yet tailored experience based on your role and interest. The content is drawn from real-world experience and principles of Data Mesh applied.

Data Mesh is a new decentralized socio-technical approach to managing data, designed to work with organizational complexity and continuous growth. It enables large organizations to get value from their data, at scale, through analytics and ML.

Data Mesh Foundation

This 8-hour tutorial is designed to give you a thorough understanding of the principles of Data Mesh and how they get applied. This course is designed and recommended for all levels of participants, from data executives and decision makers to data product managers, architects, data infrastructure engineers and other data practitioners. If you are evaluating Data Mesh, or are somewhere on your journey adopting it, this course gives you a deep and holistic understanding of the approach.

In this course, you learn and practice the following foundational topics:

Motivations and objectives of Data Mesh and assess if they apply to your organization
Comparison of Data Mesh to other existing data architectures
Introduction and application of distributed domain ownership
Introduction and application of data as a product
Introduction and application of self-serve platform
Introduction and application of federated computational governance

All foundational topics are designed to give you a deep understanding and an opportunity to apply the learnings to a real-world scenario to practice the principles in context. The course is highly collaborative. You will be working in teams and sharing your findings with a larger group of peers globally.

Data Mesh Architecture

This is an 8-hour tutorial designed for technical product managers, solution architects, data infrastructure engineers, technology leaders and practitioners. This component is taken after the Data Mesh Foundation course and builds upon its content and exercises.

In this course, you get a deeper understanding of the architectural components of a Data Mesh implementation and their design. You will be presented with architectural concepts, design and sample code to solidify your understanding.

This course covers:

Logical architecture of multi-plane data mesh platform
Logical architecture of data (product) quantum and its affordances including:
- Multi-modal data sharing through output ports
- Multi-modal data ingestion through input ports
- Data quantum design in a multi-environment deployment
- Data quantum transformation
- Data quantum discoverability
- Data quantum observability
Logical architecture of computational governance policies

In this course you get a deep understanding of logical architecture, through presentation material and hands-on exercises. The course is highly collaborative. You will be working in teams and sharing your findings with a larger group of peers, globally.

Data Mesh Execution and Strategy

This is a 4-hour course for data executives, data strategists, program managers, and influencers who lead a Data Mesh strategy and execution in an organization. This course builds upon the Data Mesh Foundation course.

In this course, you will learn and practice the following subjects:

Evaluation of an organization’s readiness for adopting Data Mesh
Data Mesh strategy formulation
Data Mesh execution model
Tools to help you with an evolutionary execution model:
- Data Mesh maturity roadmap
- Data Mesh evolution metrics

In this course you will learn these topics through the presentation content as well as the hands-on group exercises. The course is highly collaborative. You will be working in teams and sharing your findings with a larger group of peers, globally.

Testimonials

This is a cutting edge concept and it feels exciting to be "in the know" right at the beginning. Zhamak clearly articulates her vision.

– Anonymous post-workshop feedback

Well structured walk-through and explanations of the concepts behind Data Mesh architecture.

– Anonymous post-workshop feedback

The workshop was both comprehensive and thought-provoking. The instructor had intimate knowledge of the subject matter based on real-world experience.

– Anonymous post-workshop feedback

The Book

"Data Mesh: Delivering Data-Driven Value at Scale"

Zhamak Dehghani, O'Reilly Media 2022

Get the book

We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.

Dehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance.