Recent Blogs
If you are working with large fact tables in Fabric, loading everything on every run quickly becomes slow and costly. Incremental loading fixes that by moving only the new records since the last pipe...
1 month ago14KViews
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When working with sales and order data, one of the simplest—and most useful—business questions is: How many days did it take to ship an order? At first glance, this looks like a straightforward sub...
2 months ago29Views
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Why Tool Choice Is an Engineering Decision Picking the wrong orchestration primitive is a debt that compounds silently. A team that builds everything in notebooks because 'that's what we know' will ...
2 months ago97Views
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Data rarely lives where you need it. More often than not, the first real challenge of any analytics project is simply getting information from one place to another, reliably and on a schedule. This i...
3 months ago479Views
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One of the greatest things about attending FABCON in Atlanta recently wasn’t just the incredible community or the deep-dive sessions – it was those “aha!” moments during the keynote announcements. Am...
4 months ago651Views
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In modern data platforms, building efficient and reliable data pipelines is at the heart of every data engineering workflow. This is where Microsoft Fabric Data Factory comes into play. It provides a...
4 months ago1.2KViews
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Auto-Magic Data Ingestion in Microsoft Fabric Lakehouse using Data Activator & Pipelines
Imagine this you drop a .csv file into your Lakehouse, and within moments - without any manual intervention ...
5 months ago43KViews
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Ever wondered if you can send personalized emails directly from Microsoft Fabric Data pipelines? In my latest blog, I show how I built a simple automation that notifies employees when their weekly w...
5 months ago109KViews
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In this article, I walk through the complete process of replicating data from an SAP S/4HANA system into Microsoft Fabric.
Part 1 focuses entirely on the SAP landscape. This includes the installa...
6 months ago7.4KViews
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Power Query’s Table.TransformColumnTypes has long supported a Culture tag as an optional third parameter. As of May 2025, it now goes further: you can pass an Options record that includes both Cult...
1 year ago9.8KViews
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Top Content
How to Build and Orchestrate a Scalable Data Pipeline in Microsoft Fabric? A Step-by-Step Guide
2 MIN READ How to Build and Orchestrate a Scalable Data Pipeline in Microsoft Fabric? A Step-by-Step Guide In today’s data-driven world, organizations handle massive volumes of information from multiple sourc...Incremental Loading in Fabric Pipelines: Warehouse to Lakehouse
2 MIN READ If you are working with large fact tables in Fabric, loading everything on every run quickly becomes slow and costly. Incremental loading fixes that by moving only the new records since the last pipe...14KViews12likes4CommentsPower Query: Table.TransformColumnTypes Now Supports MissingField
3 MIN READ Power Query’s Table.TransformColumnTypes has long supported a Culture tag as an optional third parameter. As of May 2025, it now goes further: you can pass an Options record that includes both Cult...9.8KViews11likes0Comments
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