Oliver Engels

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.

In today’s data-driven organizations, the ability to interpret, communicate, and make informed decisions with data has become as fundamental as technical infrastructure itself. Yet, while many enterprises invest heavily in platforms like Microsoft Fabric and Power BI, the full potential of these technologies is only realized when users across all levels possess a strong foundation in data literacy…

In today’s data-driven organizations, the ability to interpret, communicate, and make informed decisions with data has become as fundamental as technical infrastructure itself. Yet, while many enterprises invest heavily in platforms like Microsoft Fabric and Power BI, the full potential of these technologies is only realized when users across all levels possess a strong foundation in data literac

One important bit of the Microsoft Fabric adoption roadmap is System oversight. In this session, we will have a look into what is possible to Monitor and Audit your Fabric Landscape.

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.

If you want to monitor your Microsoft Fabric Analytical Platform, you get a bunch of services and tools to do this. This session will deep dive with you into the possibilites of FUAM, the Fabric Unified Admin Monitoring, a framework to really x-ray your landscape.

One important bit of the Microsoft Fabric adoption roadmap is System oversight. In this session, we will have a look into what is possible to Monitor and Audit your Fabric Landscape.

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.

As soon as your Fabric user base or usage pattern getting bigger, or you extend from pure Self-Service to Corporate BI, you definitely need a proper governance on your Fabric tenant. Out of the box, Fabric offers already functionality.

Very often Governance is regarded as a serious blocker for the adoption of self-service tools like Power BI inside organizations. And thinking about securing data, limiting access and sharing and monitoring data usage feels sounds like proof for this.

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...

Extend your Power BI governance functionality with Microsoft Purview. This session will show you how, what's in it for your PBI Landscape in terms of data catalog, -map and -lineage, data loss prevention, life cycles management and information protection. You will see live demos, watch outs and...

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.

Common Data Model as the foundation of Power BI Dataflows and as part of the Open Data Initiative with SAP and Adobe, seems to be a pretty good move from Microsoft. We want to take a closer look to this approach

Common Data Model as the foundation of Power BI Dataflows and as part of the Open Data Initiative with SAP and Adobe, seems to be a pretty good move from Microsoft. We want to take a closer look to this approach.

Common Data Model as the foundation of Power BI Dataflows and as part of the Open Data Initiative with SAP and Adobe, seems to be a pretty good move from Microsoft. We want to take a closer look to this approach.