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data-analytics

Create PlantUML data pipeline diagrams with AWS mxgraph stencil icons.

Updated May 29, 2026
Search Tags:#data pipeline#etl#plantuml#data lake#bi dashboards#aws architecture#streaming analytics
One-click install
npx skills add https://github.com/aryanshrai03/readme-ai --skill data-analytics-aryanshrai03
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analytics
Source: https://github.com/aryanshrai03/readme-ai/tree/main/api/skills/data-analytics
Command: npx skills add https://github.com/aryanshrai03/readme-ai --skill data-analytics-aryanshrai03

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It helps you quickly design and communicate data pipeline and analytics architectures by turning a clear workflow description into consistent PlantUML diagrams using AWS analytics stencil icons.

Core Features & Use Cases

  • PlantUML-based diagram generation: produce complete @startuml → @enduml diagrams using plantuml/puml code fences for reliable rendering.
  • ETL, data lake, warehouse, and BI layouts: model common patterns like ETL pipelines, governed data lakes, star-schema warehousing, log analytics, streaming ingestion, and CDC flows.
  • AWS mxgraph stencil icon syntax: standardize visual elements with mxgraph.aws4.* icons for analytics, databases, storage, and BI components.
  • Streaming vs batch flow semantics: use --> for solid (batch) flows and ..> dashed arrows for async/streaming/CDC connections.

Quick Start

Ask it to generate a data lake + BI diagram in PlantUML for Athena and Redshift Spectrum using S3, Glue, Lake Formation, and QuickSight.

Frequently Asked Questions about data-analytics

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

FAQPage Schema
How do I generate PlantUML for an ETL pipeline using AWS data analytics components?▼

To generate PlantUML ETL pipeline diagrams, define your workflow and specify AWS analytics components like S3, Glue, and Redshift to produce complete @startuml to @enduml code with mxgraph.aws4.* stencil icons.

How does PlantUML differentiate batch data flows from streaming analytics connections?▼

PlantUML differentiates data flows by using solid arrows (--) for batch data pipelines and dashed arrows (..>) for async streaming analytics, CDC workflows, and real-time ingestion connections.

Can I model a governed data lake and BI dashboard architecture in PlantUML?▼

Yes, you can model governed data lakes and BI dashboarding architectures by describing components like Lake Formation, Athena, and QuickSight to render standardized PlantUML layouts with proper connectivity.

What is the best way to visualize a CDC workflow and log analytics pipeline in PlantUML?▼

The best way to visualize CDC workflows and log analytics pipelines is using left-to-right PlantUML direction with standardized mxgraph stencil syntax for databases, storage, and analytics elements to ensure clear component connectivity.

Do I need specific code fences for PlantUML data pipeline diagrams to render correctly?▼

Yes, you need correct PlantUML start and end markers along with plantuml or puml code fences to ensure your data pipeline and BI architecture diagrams render reliably.

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