C# Corner·1yData Cleansing in SQL Server
Data cleansing is essential for accurate analysis and decision-making. This guide covers techniques like removing duplicates, handling missing values, correcting inconsistencies, standardizing data formats, removing outliers, and validating data using SQL Server. Examples from the AdventureWorks2022 database illustrate these methods, ensuring data reliability and consistency.
The Register·1yMicrosoft goes all-in on AI with SQL Server 2025
Microsoft is introducing SQL Server 2025, enhancing performance and availability with features borrowed from Azure SQL. New additions include optimized locking, query optimization, REST API support, and Copilot for real-time coding assistance. This version prominently integrates AI to aid in AI application development and retrieval-augmented generation patterns. Native JSON support and improved credential management are also featured. SQL Server 2025 is expected to follow a 5+5 years support lifecycle, continuing Microsoft's push towards an AI-centric future.
Data Engineer Things·1yEnd-to-End ETL and Sales Dashboard Project in Microsoft Fabric
A step-by-step guide on creating a sales dashboard using Microsoft Fabric and PowerBI Desktop for the WideWorldImporters sample database. Key goals include creating a dynamic and user-friendly interface for monitoring sales performance across various dimensions like customer, product, and region. The post covers data gathering, ETL processes, creating views and tables, setting up a semantic model, and building various visuals to support different user stories.