microsoft / microsoft/WhatTheHack

[Proposal]: Dive Into Fabric Lakehouse

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proposal
Dominant language
C#
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Description

Topic

This is a business problem solving focused hack, built around the narrative of expanding customer engagement for a small dive travel business using Microsoft Fabric.

A local dive travel company - Margie's Travel - have heard about Microsoft Fabric and are interested in how this could be used to reach existing and new customers. The brief revolves around using open data sources of climate and shipwreck data to provide dive conditions and dive site information for both trip planning and pre-dive briefings.

The hack is descriptive rather than prescriptive; example solutions for each challenge are provided as suggestions but students are free to approach problem solving in an open way.

Abstract/Learning Objectives

The learning outcomes of this hack are:

  • Analysing and understanding customer requirements
  • Researching publicly available datasets and assessing against requirements
  • Landing data in OneLake
  • Cleaning and ingesting data to Lakehouse using appropriate technology - spark, dataflows etc.
  • Presenting the stories uncovered in the data to meet the customer requirements (Power BI, custom app etc)
  • Playing back the solution to the customer
  • Having fun!
Delivery Date

18/8/2023

Authors

No response

Other

No response

Code of Conduct
  • I agree to follow this project's Code of Conduct

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files or tests are named. Start by turning the customer problem and learning objectives into a scoped hack brief, then review the climate and shipwreck data, OneLake/Lakehouse ingestion, Spark or dataflow, and presentation paths described here. Done means the hack has defined challenges, learner guidance, and a customer playback outcome.

Written by the indexing model from the issue text.

Assessment

Tech stack
spark
Domain
data-engineering, data-visualization
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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