Ben Weissman (he/him)
Works with Computers
Nürnberg, Germany
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Ben has been working with SQL Server since SQL Server 6.5, mainly in the BI/Datawarehousing field.
He is a Microsoft Data Platform MVP, a co-author of "SQL on Kubernetes", "Azure Arc-enabled Data Services Revealed", "SQL Server Big Data Clusters" and "The Biml Book" as well as a regular speaker at national and international events. He has also published multiple Video courses at Pluralsight and other platforms.
Ben is also a co-organizer of DataGrillen, New Stars of Data and dativerse as well as a volunteer and mentor for many other Data Platform events.
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SQL Server on Linux, Containers and Kubernetes
SQL Server has evolved from a pure RDBMS to a complete data platform, running on Microsoft Windows and now in Microsoft Azure. It now runs on the Linux platform, and also on Containers and Kubernetes - but when and why would you consider these platforms for SQL Server? And what are some differences to be aware of when managing, monitoring and using the system on those environments? In this session we'll cover these platforms with an overview, and explain the installation, management, and monitoring of each.
feedback link https://sqlb.it/?7362
SQL Database in Fabric: Seamless Transactions, Instant Analytics
Discover the evolution of SQL Databases into Microsoft Fabric’s cloud-native ecosystem. Explore how SQL Database in Fabric, a SaaS operational database, simplifies transactional data management while enabling real-time replication into OneLake for unified analytics.
This session will cover the WHAT, WHEN, HOW, and WHY of SQL Database in Fabric, highlighting its automatic scaling, seamless integration, and advantages over options like Datamarts and mirrored Azure SQL DB. Through live demos, see firsthand how easily databases can be created, schemas managed, and operational data integrated.
By the end, gain a deeper understanding of how SQL Database in Fabric transforms operational data management in the cloud era. Learn how it integrates seamlessly with OneLake and other Fabric workloads, where it fits among operational data storage options, and how to implement it effectively with real-world use cases.
AI-Powered Search On-Prem with Native Vector Support in SQL Server 2025
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. But with SQL Server 2025, you can now store, query, and optimize vector embeddings natively - all within your existing environment, running entirely on-premises.
Why does this matter? For organizations needing full control over their data, SQL Server 2025 enables AI-powered search without relying on external cloud services or third-party databases. Whether working with text, images, or other unstructured data, you can leverage vector search while keeping everything inside your on-premises SQL Server environment. Built-in Row-Level Security (RLS) ensures that sensitive vector data remains protected, making it enterprise-ready for governance and compliance.
In this demo-driven session, we'll break down what vectors are, why they’re essential for AI applications, and how SQL Server 2025 simplifies vector search. You'll learn how to store and query vector embeddings efficiently, explore real-world scenarios like AI-powered recommendations and intelligent search, and discover best practices for indexing and optimizing performance.
If you're looking for a way to integrate AI-powered search within your on-premises SQL Server - without external infrastructure - this is a session you won’t want to miss!
The Future of SQL is Hybrid!
Over the last years, Microsoft announced and released multiple services under their Azure Arc umbrella. And yet, this entire brand seems confusing to many.
What's in it for the data professional?
Join me on a journey through the different offerings in Azure Arc and how they can benefit you as a data professional!
There are way too many offerings to look at all of them so we will focus on those that matter to us as data folks: Azure Arc-enabled Machine Learning, Azure Arc-enabled Data Services and, after the features being added in 2023, the real game changer: SQL Server enabled by Azure Arc.
You'll walk away with a good understanding on what Azure Arc is offering and how it can benefit you as well as with pointers to more deep dive materials on the specific offerings!
Community Connections: Amplifying Growth through Active Engagement
In this session, participants will embark on a transformative journey towards discovering the untapped potential within themselves as public speakers. The session aims to highlight the profound personal benefits that arise from honing one's public speaking skills.
We will emphasize the notion that each individual possesses a unique narrative, rich with experiences and perspectives that hold the potential to inspire and resonate with others.
Ultimately, this session seeks to ignite a passion for public speaking as a means of active community engagement, positioning it not only as a vital professional skill but also as a catalyst for personal growth and empowerment, enabling individuals to become compelling advocates for their ideas and inspirations.
Be more responsible around AI - Less Bias, More Ethics
This session is focused on the importance of ethical considerations in the development and deployment of artificial intelligence (AI) systems. I will highlight the potential risks associated with AI that come with ethical considerations as well as bias in models and processes using real life examples, showing how we are subject to potentially irresponsible AI solutions on a day by day basis. We will explore the role of ethics in shaping AI development, including the importance of transparency, accountability, and stakeholder involvement and also take a look at different types of bias including their origins. The session will emphasize the importance of responsible and ethical AI in ensuring that these systems are developed and deployed in a manner that aligns with social values. By the end of the session, attendees will have a better understanding of the importance of ethics in AI and the strategies for promoting responsible and ethical AI development.
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