Microsoft has officially unveiled Azure Linux 4.0, the latest version of its open-source Linux distribution designed for ...
How Float achieved 99.3% compression on 1Hz smart meter data with Tiger Data, enabling real-time AI energy analytics, lower ...
Microsoft's Linux server distribution is now available as an ISO to install on your own server or virtual machine.
Hands-on projects are one of the best ways to learn cloud computing. This guide highlights 10 practical AWS and Azure projects that help build real-world skills in serverless computing, DevOps, data ...
SQL Server tools are used across industries to improve the performance, security, and automation of databases. Modern tools support cloud-hybrid systems and faster data analysis workflows. Choosing ...
Publish-DacPac allows you to deploy a SQL Server Database DacPac to an on-premise SQL Server instance using a DAC Publish Profile. SSDT (SQL Server Data Tools) is Microsoft's tool to design the entire ...
Teams can make any decision after seeking advice from affected parties and documenting it in an ADR. Use context maps to assign clear ownership of system areas to specific teams. Create architectural ...
It shouldn’t be a surprise that there’s a lot of Azure you can run on premises, thanks to platforms like Azure Stack. But there’s more to on-premises Azure than the familiar platforms and services.
Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...
Understanding your customer base and planning early are essential steps when designing a scalable, multi-tenant database architecture that balances cost, performance and isolation. Building and ...
Community driven content discussing all aspects of software development from DevOps to design patterns. Want to pass the Microsoft AI-102 Azure AI Engineer certification exam on your first try? You ...
A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework. In today’s data-driven landscape, ...
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