About us

Our focus: Data, AI, Analytics and the technologies that turn information into impact.
In the cloud, hybrid, on-premises or at the edge.

Wherever data is generated, processed and consumed.

Using any programming language, framework or platform. Declarative, object-oriented, functional, low-code or AI-assisted. From traditional databases and data engineering to modern analytics, machine learning and generative AI.

What started as a Microsoft SQL Server community in the pre-cloud era has evolved into a community for data professionals, architects, developers, engineers, analysts and AI enthusiasts. Today, our topics cover the entire data lifecycle: collecting, storing, governing, processing, analyzing, visualizing and operationalizing data and AI solutions.

While Microsoft technologies remain a strong focus, we welcome discussions around the broader data and AI ecosystem as well. For example:

Data Platforms & Databases: SQL Server, Azure SQL, Microsoft Fabric, PostgreSQL, Cosmos DB, NoSQL, Lakehouses, Data Warehouses
Data Engineering & Analytics: Fabric Data Engineering, Azure Data Factory, Synapse Analytics, Databricks, Apache Spark, Real-Time Intelligence, Data Integration
Business Intelligence & Visualization: Power BI, Semantic Models, Self-Service BI, Embedded Analytics, Data Storytelling
Artificial Intelligence & Machine Learning: Azure AI Services, Azure OpenAI, Microsoft Copilot, Generative AI, Retrieval-Augmented Generation (RAG), Machine Learning, MLOps, AI Agents
Modern Data Architecture: Data Mesh, Data Fabric, Event Streaming, Kafka, Delta Lake, Data Governance, Data Security
Containers & Cloud Native: Kubernetes, Docker, SQL Server in Containers, Cloud Native Data Platforms
Development & DevOps: PowerShell, Python, .NET, Query Tuning, CI/CD, GitHub, Azure DevOps, Infrastructure as Code
Security & Compliance: Data Protection, Data Masking, Row-Level Security, Identity, Responsible AI, Governance and Compliance

Oh, and one more thing:

You can just come to our Meetups without being a member of Datamonster e.V.
Just ask at the next Meetup about the benefits of membership or visit www.datamonster.io

You can find our complete Code of Conduct under Code of Conduct for Datamonster e.V. here (German only): https://datamonster.io/verein/code_of_conduct