Alexander Klein

As modern enterprises adopt the Lakehouse architecture to unify data engineering, analytics, and AI, maintaining high data quality becomes a foundational requirement. In this session, we explore how Databricks enables scalable, automated data quality management using a combination of open-source and native tools.

The Databricks Medallion Architecture is a scalable framework for organizing and processing data in a modern data lakehouse. It uses a multi-layered structure with three main tiers—Bronze, Silver, and Gold—to systematically transform raw data into actionable business insights.

In diesem Vortrag wird die Migration eines bestehenden Azure Data Warehouse mit all seinen Komponenten in eine Azure Databricks Instanz detailliert betrachtet. Dabei werden zentrale Fragestellungen beleuchtet, die während eines solchen Umzugs auftreten können, darunter: - Welche Aspekte sind bei der Planung und Umsetzung einer solchen Migration besonders wichtig?

Die Databricks Medaillon-Architektur ist ein skalierbares Rahmenwerk zur Organisation und Verarbeitung von Daten in einem modernen Data Lakehouse. Sie nutzt eine mehrschichtige Struktur mit drei Hauptebenen – Bronze, Silber und Gold – um Rohdaten systematisch in verwertbare Geschäftseinblicke zu transformieren.

Generative AI models such as ChatGPT or Microsoft Copilot have become valuable tools for data engineers. Their ability to automatically generate text, complete code and find creative solutions can make everyday work much easier.

Generative AI models such as ChatGPT or Microsoft Copilot have become valuable tools for data engineers. Their ability to automatically generate text, complete code and find creative solutions can make everyday work much easier.

In today’s data-driven world, organizations rely on powerful tools to extract insights from their data. Azure AI services offer a wide range of capabilities, including custom question answering, which enables developers to build intelligent chatbots that can answer natural language questions.

Microsoft Power Automate, previously Microsoft Flow, is cloud software that enables employees to create and automate workflows and tasks across multiple applications and services without the help of developers. OK sounds interesting but what can I really do with it?

Mit Power Virtual Agents können Sie leistungsstarke KI-gestützte Chatbots für eine Reihe von Anfragen erstellen von der Bereitstellung einfacher Antworten auf häufig gestellte Fragen bis hin zur Lösung von Problemen, die komplexe Gespräche erfordern. Interagieren Sie mit Kunden und Mitarbeitern in mehreren Sprachen über Websites, mobile Apps, Facebook, Microsoft Teams, oder ein beliebiger Kanal, d

This full day training shows all sides of the Microsoft Power Platform. Less code more power is the Logan. It depends is as always the right answer. Exactly these and further questions will be clarified in this workshop.

Azure offers a variety of services that can be combined to form a BI solution in the cloud. What options does Azure currently offer to create a modern BI architecture?

You are already using a BI solution and are interested in moving into the cloud? Or a BI solution is on your roadmap and you are not sure if cloud or on-prem is the right strategy for you? Then choose this session.