Tillmann Eitelberg

Bevor das erste Feature steht, vergeht oft viel Zeit. Infrastruktur, Authentifizierung, APIs und Governance wollen alle bedacht sein, bevor man überhaupt zur eigentlichen Idee kommt.

AI systems don’t fail silently, they fail creatively. When data quality breaks down, models don’t just become inaccurate, they become unpredictable, biased, and operationally dangerous.

This one-day preconference offers a structured and hands-on introduction to working with data in Microsoft Fabric using Python. The focus is on understanding core components, applying Python in a Fabric-native context, and building reproducible, production-ready data workflows.

Vector search is at the core of modern AI applications, powering recommendation engines, semantic search, and image recognition. Traditionally, implementing vector-based queries required adding a dedicated vector database, introducing complexity and additional infrastructure.

Join this demo-driven session to see how HEDDA.IO makes integrating data quality into your processes refreshingly straightforward. We’ll explore its use with Spark environments like Databricks or Microsoft Fabric, demonstrate how to leverage it in Excel, and show you how to validate single records via REST.

This session is designed for Data Engineers who are new to Spark Notebooks and are looking to build a strong foundation. We will delve into best practices for using Python within Spark Notebooks, focusing on writing efficient and maintainable code.

Microsoft's Semantic Link is a powerful feature that provides a bridge between Power BI data sets and Synapse Data Science in the Microsoft Fabric. Data scientists can connect to the Power BI ecosystem from within notebooks using Semantic Link and the provided SemPy library.

HEDDA.IO is a central data quality management solution that connects departments, data stewards and data engineers. It helps to easily integrate standardization, cleansing, matching and enrichment tasks into existing processes.

Fast jeder nutz im Rahmen der Microsoft Data Platform Dienste wie Azure Data Factory, Synapse Analytics, Databricks und vieles mehr. Diese Services bietet einen mächtigen Funktionsumfang und bieten eigentlich alles, was das Herz eines Cloud und Data Engineers erfreut.

HEDDA.IO is a central data quality management solution that connects departments, data stewards and data engineers. It helps to easily integrate standardization, cleansing, matching and enrichment tasks into existing processes.

Are you able to fully understand the state of your data in your systems? Are you able to evaluate the quality of your data in all processes? In this session you will learn how easy it is to integrate HEDDA.IO into your existing processes, how it can provide you with a continuous view of the...

Gain insight into how data can be loaded, processed, and uploaded to other environments in a self-service process from a wide variety of environments in a fully controlled and audited manner. Whether SQL Server, Data Lake, Delta Lake, SAP HANA or many other data sources and targets, WOODY.IO...

HEDDA.IO is a central data quality management solution that connects departments, data stewards and data engineers. It helps to easily integrate standardization, cleansing, matching and enrichment tasks into existing processes.

Identifying relevant data quality issues and creating awareness within organizations of the threats and costs is an important step in an enterprise-wide data quality strategy.