Data Platform Demo

by Lindner Data Solutions GmbH – lindnerdatasolutions.de

A Modern Data Platform – In Your Own Hands

This project demonstrates how to build a modern Data Platform (Data Lakehouse) using only open-source technologies — running completely locally or on-premise.

It showcases an end-to-end architecture covering:

  • Data ingestion
  • Storage (Data Lakehouse)
  • Transformation pipelines
  • Data catalog & metadata
  • SQL query engine
  • Analytics & dashboards

All components are orchestrated using container technology, making the platform easy to run, explore, and extend.

Why This Project?

Many organizations today face similar challenges:

  • Getting started with modern data architectures is complex
  • Cloud solutions can be expensive and create vendor lock-in
  • Building a full data platform from scratch seems overwhelming

This demo shows that:

You can build a powerful, production-like data platform using open-source tools — without relying on cloud services.

What This Demo Includes

This platform provides a complete, minimal data stack:

  • Storage: S3-compatible object storage with table format support
  • Processing: Batch pipelines using modern data tools
  • Modeling: Bronze / Silver / Gold architecture
  • Catalog: Versioned metadata layer
  • Query Engine: Interactive SQL analytics
  • BI Layer: Dashboards and data exploration

Example Use Case: Energy Market Data (MaStR)

To demonstrate the platform in action, this project includes a real-world data pipeline based on the German energy market register (MaStR).

The pipeline processes large XML datasets and transforms them into analytics-ready tables:

ZIP → XML → Parquet → Iceberg Tables → Analytics → Dashboard

This is just one example — the platform is designed to support any data use case.

Architecture Overview

(Insert architecture diagram here)

The platform follows a modern Data Lakehouse architecture with clearly separated layers:

  • Storage (Object Storage + Table Format)
  • Compute & Pipelines
  • Metadata & Catalog
  • Query & Serving
  • Analytics & Visualization

Built for Learning, Prototyping, and Independence

This project is ideal for:

  • Learning modern data architectures
  • Prototyping data platforms locally
  • Demonstrating data engineering concepts
  • Exploring open-source alternatives to cloud stacks

From Demo to Production

This demo keeps things intentionally simple.

In a real enterprise setup, you would typically extend it with:

  • Authentication & Authorization (LDAP, OAuth)
  • Data governance & access control
  • Scalable infrastructure (Kubernetes)
  • Advanced orchestration
  • Observability & monitoring

Get Started

Want to run the platform yourself? Let's talk!

About

Lindner Data Solutions GmbH

We design and build modern data platforms — from prototype to production.