snowflake-dbt-airbnb-analytics

Automate ETL workflows with Snowflake, dbt, and Streamlit.

5|1|Updated May 16, 2026
One-click install
npx skills add https://github.com/Aradotso/data-skills --skill snowflake-dbt-airbnb-analytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: snowflake-dbt-airbnb-analytics
Source: https://github.com/Aradotso/data-skills/tree/main/skills/snowflake-dbt-airbnb-analytics
Command: npx skills add https://github.com/Aradotso/data-skills --skill snowflake-dbt-airbnb-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires snowflake, dbt, streamlit, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates complex data analytics workflows with Snowflake, dbt, and Streamlit, streamlining data ingestion, transformation, quality assurance, and visualization.

Core Features & Use Cases

  • Data Ingestion: Automates the loading of data from various sources into Snowflake.
  • Data Transformation: Implements a robust dbt architecture with staging, intermediate, and mart layers for data transformation.
  • Data Quality: Validates data quality with comprehensive dbt tests and schema checks.
  • Visualization: Serves insights through a Streamlit dashboard for neighborhood and listing performance.
  • Use Case: Ideal for data analysts and engineers looking to automate the end-to-end data analytics workflow for large datasets like Airbnb listings and calendar data.

Quick Start

Set up a Snowflake and dbt project with Inside Airbnb data, transform it using dbt, and visualize performance with the Streamlit dashboard.

Frequently Asked Questions about snowflake-dbt-airbnb-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate ETL workflows with Snowflake and dbt?

Automate ETL workflows with Snowflake and dbt by loading source data into Snowflake, transforming it through dbt's staging, intermediate, and mart layers, and serving insights via Streamlit dashboards.

How does dbt handle data transformation for large datasets?

dbt handles data transformation for large datasets by routing raw data through structured staging, intermediate, and mart layers, applying schema checks and data quality tests to validate analytics outputs.

Do I need Snowflake and Streamlit to run this dbt analytics workflow?

Yes, you need Snowflake for data storage and ingestion, dbt for data transformation and quality assurance, and Streamlit to visualize insights and dashboard performance metrics from the processed datasets.

What's the best way to visualize Airbnb listing data using Streamlit?

Visualize Airbnb listing data using Streamlit by automating data ingestion into Snowflake, transforming listing and calendar data with dbt, and serving neighborhood and listing performance metrics through a dashboard.

Can I validate data quality in dbt before visualizing it in Streamlit?

Yes, dbt validates data quality through comprehensive tests and schema checks across the transformation layers before the processed data is served and visualized through the Streamlit dashboard.

When should I use Snowflake and dbt for data analytics instead of other tools?

Use Snowflake and dbt for data analytics when processing large datasets like Airbnb listings that require automated ingestion, structured multi-layer transformation, quality assurance, and interactive dashboard visualization.