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This hackathon is designed for learning through hands-on experimentation (Hack) using challenges based on a fictitious customer scenario. As part of this hackathon, the participants solve a set of challenges one by one to build a data mesh. The sequence of the challenges is important as each challenge is built on top of the outcome of the previous challenge(s).
The challenges don't come with guidance on how to solve them. But each challenge comes with proper technical explanation and reference materials so that a team can solve the challenge and learn through the experience.
Abstract/Learning Objectives
Principles of Data Mesh (domains, data products, governance etc.)
Developing data products using Microsoft Fabric
Building data pipelines (ingestion, transformation, data modelling etc.)
Implementing semantic search using Open AI
Delivery Date
30/09/2023
Authors
- ra1han
- promisinganuj
- devlace
Other
No response
Code of Conduct
I agree to follow this project's Code of Conduct
The text was updated successfully, but these errors were encountered:
Topic
This hackathon is designed for learning through hands-on experimentation (Hack) using challenges based on a fictitious customer scenario. As part of this hackathon, the participants solve a set of challenges one by one to build a data mesh. The sequence of the challenges is important as each challenge is built on top of the outcome of the previous challenge(s).
The challenges don't come with guidance on how to solve them. But each challenge comes with proper technical explanation and reference materials so that a team can solve the challenge and learn through the experience.
Abstract/Learning Objectives
Delivery Date
30/09/2023
Authors
Other
No response
Code of Conduct
The text was updated successfully, but these errors were encountered: