While Microsoft sweeps the confetti off the floor of its Build event, it may be a good moment to reflect on what it didn't say as much as what it did. Taking the spotlight was AI agent Scout, ready to ...

As SQL Server 2016 approaches end of support in July 2026, a look back at its groundbreaking innovations reveals how it reshaped Microsoft's data platform and why it's time to move forward. As I've ...

Abstract: Database forensics is becoming more important for investigators with the increased use of the information system. Although various database forensic methods such as log analysis and ...

SQL Server Management Studio (SSMS) version 22.5 is now available, bringing a mix of new features, usability improvements, and ongoing integration with AI tools. The update focuses on simplifying ...

The “Conversion failed when converting date and/or time from character string” error in SQL Server appears when SQL Server cannot interpret a text value as a ...

Welcome to a set of Microsoft solutions labs on using the Microsoft Azure SQL Platform. Using these labs, you'll gain a deep understanding on options for the latest SQL Server engine in Microsoft ...

Microsoft has announced the SQL Server 2025 preview, and this update is a big one for developers and IT teams. The Release Candidate 0 (RC0) introduces two major upgrades, including support for Ubuntu ...

SQL skills are essential for high-demand roles like data analyst, business analyst, data scientist, software developer, and database administrator. Mastering SQL enables professionals to efficiently ...

Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...

Microsoft unveiled .NET Aspire at the Build 2024 developer conference, describing it as an opinionated, cloud-ready stack for building observable, production ready, distributed, cloud-native ...

The increasing adoption of AI technologies is presenting new challenges for our customers’ data estate and applications. Most organizations expect to deploy AI workloads across a hybrid mix of cloud, ...