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
1,787 reads
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
1,787 reads
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
3,330 reads
This article explains metadata driven pipelines and shows an example in Microsoft Fabric.
2024-05-01
4,861 reads
Learn how to perform full and incremental loads in Fabric with a little SparkSQL.
2024-04-17
6,461 reads
In this article, learn how you can manage files and folders for both full and incremental loading situations.
2024-03-27
3,661 reads
Learn how to get started with Microsoft Fabric along with the differences between managed and unmanaged tables.
2024-03-20
4,638 reads
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
2,685 reads
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
5,252 reads
This article examines how one can structure a pipeline for processing real-time data using Kafka and Informatica.
2023-04-26
4,639 reads
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
5,477 reads
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Comments posted to this topic are about the item The case for "Understanding our...
Comments posted to this topic are about the item Specifying the Collation
I am dealing with issues on my SQL Server 2022 instance related to collation. I have an instance collation of Latin1_General_CS_AS_KS_WS, but a database collation of Latin1_General_CI_AS. I want to force a few queries to run with a specified collation by using code like this:
DECLARE @c VARCHAR(20) = 'Latin1_General_CI_AS'
SELECT p.PersonType,
p.Title,
p.LastName,
c.CustomerID,
c.AccountNumber
FROM Person.Person AS p
INNER JOIN Sales.Customer AS c
ON c.PersonID = p.BusinessEntityID
COLLATE @c
Will this solve my problem? See possible answers