Microsoft Fabric, the Land of Wizards and Trolls
In my previous article (What is Microsoft Fabric All About) I explained what Microsoft Fabric is, how it came about and whether it brings anything new to the data insights domain.
2024-07-24
Microsoft Fabric (Azure Synapse, Data Engineering, etc.)
Configure Microsoft Fabric Database Mirroring for Snowflake
In this tip, we explore how to configure mirroring for a Snowflake database to be available in Microsoft Fabric.
2024-07-17
Streaming Event Data through RabbitMQ to a Microsoft Fabric Eventstream
In this article, you will learn how to send messages through a RabbitMQ queue and deliver those to a Microsoft Fabric Eventstream.
2024-07-12
1,632 reads
Manage OneLake Storage With PowerShell - Data Engineering with Fabric
Learn how to manage files and folders in Microsoft Fabric with PowerShell.
2024-07-10
1,914 reads
Choosing Between the Lakehouse and Warehouse in Microsoft Fabric
Microsoft Fabric is a new centralized, AI-powered cloud data platform hosted by Microsoft. It combines several services of the existing Azure Data Platform – such as Azure Data Factory – with Power BI, while also introducing new services.
2024-07-05
Level 1 of the Stairway to Synapse Analytics - Create a Synapse Workspace
In this first level of the Stairway to Synapse Analytics, we learn how to set up a new workspace and add data files.
2025-06-06 (first published: 2024-07-03)
1,401 reads
Control OneLake with Storage Explorer – Data Engineering with Fabric
In this new article, we examine how to work with OneLake storage.
2024-06-26
1,732 reads
Stairway to Synapse Analytics
This stairway series is designed to teach you about the Azure Synapse Analytics cloud service.
2025-06-06 (first published: 2024-06-19)
612 reads
How to Set Up Microsoft Fabric Database Mirroring for Azure Cosmos DB
This article shows how to configure database mirroring from CosmosDB to Microsoft Fabric.
2024-06-10
1,309 reads
How to Build Metadata Driven Pipelines in Microsoft Fabric
Over the past years, “traditional” ETL development has morphed into data engineering, which has a more disciplined software engineering approach. One of the benefits of having a more code-based approach in data pipelines is that it has become easier to build metadata driven pipelines.
2024-05-24
Blogs
The Notification Trap: How Input Fatigue Is Killing Deep Work in Tech
By gbargsley
If you've been here before, you know this blog is usually about SQL Server,...
Designing a Storage Load Test for SQL Server
I’ve been doing storage load tests for SQL Server for a long time, both...
Questions and Answers from Running a Local LLM
By Steve Jones
I had a few random questions from my Running a Local LLM on Your...
Forums
A question about how to store the address in the database
I have an app that has an address field on the customer and the...
SSIS package failing intermittently on last Excel Component
Good Afternoon, I have a Job which "fires" off an SSIS package (that is...
T-SQL in SQL Server 2025: JSON_ARRAYAGG
Comments posted to this topic are about the item T-SQL in SQL Server 2025:...
Question of the Day
Multiple Sequence Values
How do I easily get the next 12 sequence values from a sequence object?
See possible answers