https://github.com/stikkireddy/chicago-vibe-coding
https://github.com/stikkireddy/chicago-vibe-coding
databricks vibe-coding
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/stikkireddy/chicago-vibe-coding
- Owner: stikkireddy
- Created: 2025-08-25T11:52:04.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2025-08-26T21:39:54.000Z (about 1 month ago)
- Last Synced: 2025-08-27T05:18:31.204Z (about 1 month ago)
- Topics: databricks, vibe-coding
- Language: TypeScript
- Homepage: https://stikkireddy.github.io/chicago-vibe-coding/
- Size: 1.21 MB
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Chicago Vibe Coding Workshop
A comprehensive demonstration of Databricks modern data stack capabilities, showcasing enterprise-grade data platform features through a hands-on coding workshop.
## Product Demo
**Premise**: SaaS IoT analytics platform hosted on Lakehouse Apps (LHA)
**User Flow**:
1. User downloads mobile app
2. App captures device gyroscope data
3. Data streams to Databricks via ZerobusSdk
4. Device registers in Lakebase
5. Real-time visualization via embedded AI/BI Genie dashboards in B2C SaaS
**Tech Stack**: React Native → FastAPI → Zerobus → Databricks UC Managed Table → AI/BI Genie embedded in NextJS based B2B SaaS app in LHA
**Value Demo**: End-to-end lakehouse platform powering real-time IoT SaaS with embedded analytics.
## Project Overview
This project demonstrates key Databricks features and capabilities:
### Databricks Features Covered
- **Zerobus** - Seamless data ingestion without traditional ETL pipelines
- **Lakehouse Platform** - Unified data architecture combining data lakes and warehouses
- **Lakehouse Apps** - Native application development and deployment within Databricks
- **AI/BI Dashboard Embedding** - Interactive dashboards with dynamic filters and embedding capabilities
### Architecture & Resources
- [Architecture Diagram](assets/architecture-diagram.png) - Visual overview of the data platform architecture
- [QR Code for Repository](assets/qr-code-for-repo.jpg) - Quick access to project repository
## Prerequisites
Before getting started, you'll need to install the following tools:
### 1. Homebrew (macOS package manager)
```bash
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
```
### 2. pyenv (Python version management)
```bash
brew install pyenv
```
### 3. nvm (Node.js version management)
```bash
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.0/install.sh | bash
```
### 4. Node.js
```bash
nvm install node
nvm use node
```
### 5. Databricks CLI
```bash
brew install databricks
```
### 6. tmux (Terminal multiplexer)
```bash
brew install tmux
```