Empowering Lakehouse Users – Data Engineering with Fabric
Learn how to use the OneLake Explorer and Data Wrangler extension in VS Code to empower users to work with data in Microsoft Fabric.
2024-05-22
1,818 reads
data engineering
Combining Silver Tables into a Model – Data Engineering with Fabric
This next article in the series creates objects at the gold layer for consumption by combining tables from the silver layer of the lake house.
2024-05-15
3,451 reads
Metadata Driven Pipelines – Data Engineering with Fabric
This article explains metadata driven pipelines and shows an example in Microsoft Fabric.
2024-05-01
5,000 reads
Full vs. Incremental Loads – Data Engineering with Fabric
Learn how to perform full and incremental loads in Fabric with a little SparkSQL.
2024-04-17
6,561 reads
Managing Files and Folders with Python – Data Engineering with Fabric
In this article, learn how you can manage files and folders for both full and incremental loading situations.
2024-03-27
3,698 reads
Managed Vs Unmanaged Tables – Data Engineering with Fabric
Learn how to get started with Microsoft Fabric along with the differences between managed and unmanaged tables.
2024-03-20
4,757 reads
Evolving Role of Data Professionals in Artificial Intelligence Era
Generative Al tools like Gemini and GPT promise to automate and augment knowledge-based work. Data professionals must adapt to this transformation by acquiring new skills and playing a central role in their organization's AI-driven future. Data preparation, curation, ethical sourcing and labeling, and collecting user feedback become crucial as high-quality data is essential for effective LLM based application.
2024-03-04
2,710 reads
What is OneLake in Microsoft Fabric?
Get ready to be blown away! The highly anticipated Microsoft Build in May 2023 has finally unveiled its latest and greatest creation: the incredible Microsoft Fabric - an unparalleled Data Intelligence platform that is guaranteed to revolutionize the tech world! fig 1: OneLake for all Data One of the most exciting things in Fabric I […]
2023-07-26
5,302 reads
Revolutionizing Real-Time Data Management with SQL Server, Kafka, and Informatica
This article examines how one can structure a pipeline for processing real-time data using Kafka and Informatica.
2023-04-26
4,668 reads
Step by Step Guide to Install Jupyter Notebook
Whether you work as a Data Engineer or a Data Scientist, a Jupyter Notebook is a helpful tool. One of the projects I was working required a comparison of two parquet files. This is mainly a schema comparison, not a data comparison. Though the two .parquet were created from two different sources, the outcome should […]
2021-05-17
5,502 reads
Blogs
Presenting with Visual Studio Code
A while back I wrote a quick post on setting up key mappings in...
Advice I Like: In 100 Years
By Steve Jones
In 100 years a lot of what we take to be true now will...
dataMinds Saturday 2026 – Slides
At Saturday the 21st of February I’m presenting an introduction to dimensional modelling at...
Forums
is it true we cant debug c# scripts in ssis anymore under vs
Hi, i'm running vs2022. I'm trying out a c# script that i'd like to...
Missing the Jaro Winkler Distance
Comments posted to this topic are about the item Missing the Jaro Winkler Distance
Question of the Day
Missing the Jaro Winkler Distance
I upgraded a SQL Server 2019 instance to SQL Server 2025. I wanted to test the fuzzy string search functions. I run this code:
SELECT JARO_WINKLER_DISTANCE('tim', 'tom')
I get this error message:Msg 195, Level 15, State 10, Line 1 'JARO_WINKLER_DISTANCE' is not a recognized built-in function name.What is wrong? See possible answers