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
1,777 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
3,258 reads
Metadata Driven Pipelines – Data Engineering with Fabric
This article explains metadata driven pipelines and shows an example in Microsoft Fabric.
2024-05-01
4,727 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
6,348 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
3,616 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
4,558 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
2,680 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
5,215 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
4,631 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
5,454 reads
Blogs
Fabric as a Data Mesh Enabler: Rethinking Enterprise Data Distribution
By Chris Yates
For decades, enterprises have approached data management with the same mindset as someone stuffing...
Truncate Table Pitfalls
Truncate Table Pitfalls Truncating a table can be gloriously fast—and spectacularly dangerous when used carelessly....
dataMinds Connect 2025 – Slides & Scripts
You can find all the session materials for the presentation “Indexing for Dummies” that...
Forums
DBCC CHECKIDENT
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Distributed Availability Group Health: T-SQL and Zabbix
Comments posted to this topic are about the item Distributed Availability Group Health: T-SQL...
extended events to spy on our server between 8 and 9 am
Hi, our peer who owns a remote mysql server from which we extract warehouse...
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DBCC CHECKIDENT
What is returned as a result set when I run this command without a new seed value?
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