The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

Abstract: Data locality is crucial for distributed computing systems (e.g., Spark and Hadoop), which is the main factor considered in the task scheduling. Simultaneously, the effects of data locality ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Quantitative modeling is a powerful tool that allows us to develop an understanding of identity and extent of igneous processes on Earth and other planetary bodies. Such models are built upon data ...

Community driven content discussing all aspects of software development from DevOps to design patterns. In helping students prepare for this exam, I have identified a number of commonly misunderstood ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The AWS Certified Data Engineer Associate exam validates your ability to design, build, and ...

Partitioning is a database design technique when data is split across multiple tables or databases but is logically still one table. This technique is proper when dealing with large tables, as it can ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...