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Articles tagged with #microsoftfabric
Happy New Year, readers! 馃帀 It鈥檚 a joy to start 2026 with all of you and I鈥檓 excited for all the learning we will share this year. In today鈥檚 data-driven world, organizations are increasingly reliant on agile, scalable, and robust data pipelines to ...
If you've been following along with our series, you've already mastered KQL basics: creating them, querying data, and building visualizations. That's fantastic! You now have a solid foundation. Missed the previous article? I'd highly recommend readin...
If you've been following along with our Microsoft Fabric series, you've already learned about the fundamentals of Fabric and why real-time intelligence matters in today's business. If you missed that foundational article, I'd recommend starting there...
For many years, handling streaming data was viewed as an advanced and unconventional approach. Since the introduction of relational database management systems in the 1970s and the adoption of traditional data warehousing architectures in the late 19...
Data science can feel overwhelming when you are just starting out. There are many tools, new terms, and different roles involved. Microsoft Fabric was designed to reduce this complexity by bringing data science, data engineering, and analytics into o...
If you follow me on LinkedIn or Twitter, you鈥檝e probably come across my FabricSeries, where I break down complex Fabric concepts into simple, practical steps. Most of those posts focus on helping new users understand Lakehouses, Warehouses, Notebooks...
