Apache Superset

Connect ClickHouse via SQLAlchemy

Create a virtual dataset for log streams

Build a 'Big Number with Trendline' chart

Set dashboard refresh interval to 10 seconds

Deploy to NOC screens.

Configure Row-Level Security filters

Enable the Embedded SDK

Generate Guest Tokens via API

Iframe the dashboard into the host app

Pass user context for data isolation.

Define custom metrics in the Semantic Layer

Use SQL Lab to join Ledger and Sales tables

Create a Pivot Table chart

Schedule a PDF report for the CFO

Lock the dataset to prevent schema changes.

Connect to Snowflake

Use the no-code builder to group by 'Experiment_ID'

Apply a time-series line chart

Filter by user segment

Export results to CSV for further analysis.

Ingest Auth0 logs into Postgres

Create a Heatmap chart of login attempts by IP

Set an Alert for login failures > 100/min

Drill down into specific IP addresses via SQL Lab

Share the dashboard link with the IR team.

Use dbt to consolidate sources into BigQuery

Connect Superset to the final dbt models

Create a Sankey diagram for customer journeys

Add global filters for Date Range and Channel

Analyze ROI per campaign.

Connect to a MySQL inventory database

Select the 'deck.gl' Scatterplot visualization

Map Longitude/Latitude coordinates

Color-code points by stock levels

Enable 'Drill-to-Detail' for specific warehouses.