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| Title & Speakers | Event |
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Fundamentals of Microsoft Fabric
2025-06-26
Nikola Ilic
– author
,
Ben Weissman
– author
In the rapidly evolving world of data and analytics, professionals face the challenge of navigating complex platforms in order to build more efficient solutions. Microsoft Fabric, hailed as Microsoft’s “biggest data product in history after SQL Server,” offers powerful capabilities but comes with a steep learning curve. The myriad of choices within Fabric can be overwhelming, with multiple ways to tackle tasks, not all of which are equally efficient. This book serves as a definitive roadmap to understanding Microsoft Fabric—and leveraging it to suit your needs. Authors Nikola Ilic and Ben Weissman demystify the core concepts and components necessary to build, manage, and administer robust data solutions within this game-changing product. Discover the core Microsoft Fabric components and understand key concepts and techniques for building a robust data platform Learn to apply Microsoft Fabric effectively in your day-to-day job Understand the concept of a lake-centric architecture Gain the skills to implement a scalable and efficient end-to-end analytics solution Manage and administer a Fabric tenant |
O'Reilly Data Science Books
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Enhancing On-Prem and Multi-Cloud SQL Instances with Azure Arc
2024-08-06 · 21:00
The August Ohio North Database Training user group meeting will be held on Tuesday, August 6th, 2024 at 5:00PM. This will be a HYBRID event and our featured speaker, Ben Weissman, will be joining us on-site all the way from Germany! You're welcome to come meet in-person at our usual meeting location at the Artemis offices at: 6161 Oak Tree Blvd, Ste 300 Independence, OH 44131 Agenda: 5:00 PM EST: Online and in-person meeting begins with a social hour. This is an unstructured hour where you can join us to catch up and meet other group members before the session starts. There will be pizza brought in for in-person attendees. 6:00 PM EST: Updates and announcements, followed by our feature presentation. See below for presentation details. 7:30 PM EST: Optionally after the main presentations, the in-person crowd may go out for snacks and drinks at a local establishment. We hope to see you there! *Please note, that we will be using Microsoft Teams for the online portion of this meeting. You may want to join a few minutes early to ensure you do not have any issues. If you are attending in person, there are large TVs at the office, and you do not need to bring a laptop or use Teams. Featured Presentation: Enhancing On-Prem and Multi-Cloud SQL Instances with Azure Arc Over the last years, Microsoft announced and released multiple services under their Azure Arc umbrella. But what's in it for the data professional? Join Data Platform MVP Ben Weissman on a journey through the different offerings in Azure Arc and how they can benefit you as a data professional! While exploring every service on offer, we'll mostly focus on those with a clear data focus: SQL Server enabled by Azure Arc, Azure Arc-enabled Data Services and Azure Arc-enabled Machine Learning. 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! Speaker Bio Ben Weissman 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 multiple conferences including DataGrillen, New Stars of Data and dativerse as well as a volunteer and mentor for many other Data Platform events. His true passion is setting a stage for new talent. If you are interested in becoming a speaker in the Data Platform Community, you should reach out to him! |
Enhancing On-Prem and Multi-Cloud SQL Instances with Azure Arc
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