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
1,812 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
3,426 reads
Metadata Driven Pipelines – Data Engineering with Fabric
This article explains metadata driven pipelines and shows an example in Microsoft Fabric.
2024-05-01
4,973 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
6,556 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
3,692 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
4,734 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
2,709 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
5,294 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
4,659 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
5,501 reads
Blogs
Don’t Miss Out – SQL Server Query Tuning Fundamentals Starts Next Monday!
Next Monday, February 9, 2026, my one-day live online training SQL Server Query Tuning...
Monday Monitor Tips: SQL Auditing Preview
By Steve Jones
One of the features we advocates have been advocating for is a better way...
SQL Server 2025 CU1 Fixes the Docker Desktop AVX Issue on macOS
Microsoft fixed the AVX instruction issue in SQL Server 2025 CU1. The container now...
Forums
25 Years of SQL Server Central
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The Decoded Value
Comments posted to this topic are about the item The Decoded Value
Deploying SQL Server Developer Edition in Kubernetes: A Cost-Effective Alternative to RDS
Comments posted to this topic are about the item Deploying SQL Server Developer Edition...
Question of the Day
The Decoded Value
In SQL Server 2025, what is returned from this code:
DECLARE @message VARCHAR(50) = 'Hello SQL Server 2025!'; DECLARE @encoded VARCHAR(MAX); SET @encoded = BASE64_ENCODE(CAST(@message AS VARBINARY(1000))); SELECT BASE64_DECODE(@encoded)See possible answers