How do I install superset locally with docker?

## Prerequisites - Docker and Docker Compose installed - Git installed ## Steps 1. Clone the repository: ```bash git clone https://github.com/apache/superset git checkout tags/6.0.0 ``` 2. Navigate to the directory: ```bash cd superset ``` 3. Start Superset: ```bash docker compose -f docker-compose-image-tag.yml up ``` 4. Access http://localhost:8088 and login with **admin** / **admin**. Stop with `docker compose down`.

How do I connect database and register dataset?

## Using Built-in Examples Database 1. Click **+** > **Data** > **Datasets**. 2. Click **+ Dataset**. 3. Select **Database**: `examples`, **Schema**: `public`, **Table**: `cleaned_sales_data` (or `birth_names`). 4. Click **Add**. ## Optional: Connect External DB 1. **+** > **Data** > **Connect Database**. 2. Choose DB type (e.g., PostgreSQL). 3. Enter SQLAlchemy URI (e.g., `postgresql://user:pass@host/db`). 4. **Test Connection** > **Connect**. Preview data in **Data** tab.

How do I customize columns and create metrics?

## Column Configuration 1. Edit dataset > Columns tab. 2. For datetime columns: Set **Is Temporal** and parse format (e.g., `%Y-%m-%d`). 3. Mark columns as **Dimensional** or **Filterable**. ## Semantic Layer Basics 1. **Metrics** tab > **+ Metric**. - SQL: `SUM(sales) AS total_sales`. 2. **Calculated Columns** tab > **+ Calculated Column**. - SQL: `CAST(sales AS FLOAT)`. Save changes. This creates reusable virtual metrics.

How do I build your first charts?

1. Click dataset name > **Explore**. 2. **Data** tab: Preview. 3. Choose **Viz Type** (e.g., Time-series Bar Chart). 4. **Time** column, **Metrics** (e.g., `count(*)`), **Group by** category. 5. Adjust via dropdowns (colors, series). 6. **Run** to preview. 7. **Save** as **Slice** (name it, e.g., "Sales Over Time"). Repeat for 2-3 charts (pie, map).

How do I assemble and publish dashboard?

1. **Save** chart > **Save & add to Dashboard** (new: "My First Dashboard"). 2. **Edit Dashboard**: Resize charts via drag. 3. Add more slices. 4. **Save**. 5. Click **Draft** > **Publish**. 6. Share: Set owners/permissions. 7. Customize: `?standalone=1` in URL for embed. Explore SQL Lab or alerts for next level.

Master Apache Superset: Build Viz Dashboards in 5 Steps

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Instant Toolkit

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Step-by-Step Guide

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Prerequisites

Docker and Docker Compose installed
Git installed

Steps

Clone the repository:

git clone https://github.com/apache/superset
git checkout tags/6.0.0

Navigate to the directory:

cd superset

Start Superset:

docker compose -f docker-compose-image-tag.yml up

Access http://localhost:8088 and login with admin / admin.

Stop with docker compose down.

Why this step matters:

-Provides a sandbox for safe experimentation with real features
-Simulates production setup for practical deployment skills

30-60 minutes

Docker, Docker Compose, Git

$0

Definition of Done

•Superset UI accessible at http://localhost:8088
•Successful login with admin/admin credentials

Common Mistakes to Avoid

❌ Skipping the git checkout to a tagged release

→Run `git checkout tags/6.0.0` for the stable 6.0.0 version

❌ Using the wrong Docker Compose file

→Specify `-f docker-compose-image-tag.yml` explicitly

❌ Port 8088 already in use

→Change the port in the compose file or stop conflicting services

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Suggested Videos

What Is Apache Superset - Learn in 30 Minutes

Apache Superset Open Source Exploration Platform

Getting Started with Apache Superset

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Learning Resources

📖 Online Courses

Apache Superset for Data Engineers (Hands On)

beginner

Paid

Udemy

📖 Recommended Books

Apache Superset Quick Start Guide

beginner

by Joseph Gilley

🌐 Helpful Websites

Official Apache Superset Docs

documentation

User, admin, and developer guides with tutorials

Apache Superset GitHub

repository

Source code, Docker files, and community resources

🛠️ Useful Tools

Docker

Containerization

Run Superset in isolated containers easily

Master Apache Superset: Build Viz Dashboards in 5 Steps