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Robert Glaser
Head of Data and AI
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- the basics of Data Mesh, including its architecture, principles and benefits
- hands-on exercises and examples
- small group setting: 12 participants max
What to expect
- 2-day training, led by 2 experienced Data Mesh experts
- Up to 12 participants
- Learn the basics of Data Mesh, including its architecture, principles and benefits
- Understand what it takes to implement Data Mesh into your organization
- Experience Data Mesh concepts through hands-on exercises and examples, both based on an ongoing and well-defined case study
- On-site recommended, remote possible upon request
Day 1
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Introduction
- What is Data Mesh?
- Why should we adopt it?
- What are the prerequisites?
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Data Mesh Principle 1: Domain Ownership
- Place the ownership of the analytical data in the hands of your domain teams
- Exercise: Identification of domains and their data
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Data Mesh Principle 2: Data as a Product
- Treat your data like a product and make it as useful as possible for your customers
- Exercise: Identification of domains and their data
Day 2
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Data Mesh Principle 3: Self-serve data platform
- Introduce a platform that makes the creation and use of data products as easy as possible
- Demo: Implement a Data Product on an existing Self-Service Data Platform
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Data Mesh Principle 4: Federated Computational Governance
- Establish a form of data governance that is in line with distributed data ownership
- Exercise: Simulate a Governance Group
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How to get started:
- Best Practices for implementing Data Mesh
- Exercise: Test to see if your organization is a good fit for Data Mesh
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Lean Coffee Format: Answering your open questions
By the end of these workshop, you will have a deep understanding of Data Mesh concepts through hands-on exercises and examples, both based on an ongoging and well-defined case study.