Matthias Nohl
b.telligent Deutschland GmbH
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Matthias Nohl is a consultant focusing on cloud platform & data analytics in the Azure cloud environment, data warehouse architecture and performance optimization and advises customers from various industries on data analytics topics.
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Welcome back Data Quality Services - Microsoft Purview Data Quality
Do you remember the Data Quality Services (DQS) from SQL Server with their not-so-perfect user interface and services? Well, they are experiencing a revival in Microsoft Purview, and in this session, we take you through all the details. We'll look at the new features, where they are best utilized, and also examine the important features that might still be missing. By the end of the session, you will have a clear overview of Purview Data Quality and understand how to best use it in your own context. Purview Data Quality Next Level? Find out for yourself!
Successful Fabric PoC - These 5 things must not be forgotten!
This session will cover the essential elements needed for a successful Fabric Proof of Concept (PoC) in the Azure data ecosystem. Focused on both technical and non-technical aspects, we will discuss five key factors that can influence the outcome of your PoC.
Firstly, we will talk about the importance of having well-defined objectives and scope to prevent scope creep and ensure alignment with business goals. Secondly, the necessity of a robust technical infrastructure will be highlighted, along with tips for optimal configuration and resource management. Thirdly, the session will cover stakeholder engagement and communication, emphasizing their impact on the project's momentum. Fourth, we will touch on the value of iterative testing and validation to catch potential issues early and make necessary adjustments. Finally, we will address the importance of documentation and knowledge transfer to facilitate smooth transitions and future scaling.
This session aims to provide practical insights and guidelines for data professionals, project managers, and stakeholders involved in a PoC, helping you navigate the complexities of the process and increase the likelihood of a successful outcome.
Join me to learn how to make your Fabric PoC both effective and efficient.
From Silos to Synergy: How Snowflake and Fabric Deliver Open, Interoperable Data Architectures
The data ecosystem is shifting toward openness and interoperability - and the recent Microsoft - Snowflake partnership takes this to the next level. While the “Better Together” story of Fabric and Delta Lake is well known, a new chapter begins with Fabric’s support for Apache Iceberg tables and native Snowflake integration. These capabilities unlock seamless data sharing, governance, and analytics across platforms without forcing rigid architectural choices.
In this deep-dive session, we’ll explore how to integrate Snowflake and Microsoft Fabric effectively—from Snowflake mirroring for near-real-time scenarios to metadata virtualization with Iceberg for cross-platform query and governance. You’ll learn the practical steps to configure both environments, manage security and lineage, and optimize for performance and cost. We’ll also discuss strategic considerations: when to choose mirroring vs. virtualization, how to maintain a single source of truth across OneLake and Snowflake, and what this means for your long-term data strategy.
Key takeaways:
- Understand the new interoperability features announced by Microsoft and Snowflake.
- Learn step-by-step integration patterns for Iceberg and mirroring.
- Gain actionable guidance on governance, security, and performance tuning in hybrid architectures.
Who should attend: Data Architects, Data Engineers, and IT Professionals looking to design future-proof, open data platforms that leverage the strengths of both Snowflake and Microsoft Fabric.
Beyond the Podium: A Data Architect's Guide to Lakehouse Architectures in Microsoft Fabric
Ever wondered how the Gold, Silver, and Bronze architecture of a Lakehouse truly fits into organizations of different skills and sizes? Just like in "The Wizard of Oz," where Dorothy discovers the real wizard behind the curtain, this session uncovers the reality of Lakehouse structures across various company sizes.
Join us to explore who implements what and what organizational adjustments are necessary. Discover the challenges that, while not perfect, are currently shaped by Microsoft Fabric's capabilities.
In this session, we provide clarity from data ingestion to layer responsibilities, ensuring data architects have a comprehensive understanding of how to navigate and refine these architectures.
By the end of this session, you will:
- Understand the practical application of Lakehouse architecture in diverse business landscapes.
- Identify organizational adjustments needed for seamless integration.
- Recognize current limitations in Microsoft Fabric and how to work within them.
Whether you're a data architect, engineer, or manager, this session will equip you with the insights you need to optimize your Lakehouse strategy for your organization. Get ready for a journey from conceptual maps to actual organizational implementation.
SQLDay 2025 Sessionize Event
Microsoft Fabric Community Conference Sessionize Event
Data Community Day Austria 2025 Sessionize Event
SQL Konferenz 2024 Sessionize Event
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