AI has not reduced the need for human judgment in database management: It has exposed how dangerous it is to operate without ...

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...

python3 Data/schema_data.py output_dir/Actual_Order_Products.csv 10 output_dir/ python3 Data/schema_data.py output_dir/Actual_Orders.csv 10 output_dir/ python3 Data ...

The AutoAdmin research project was launched in the Fall of 1996 in Microsoft Research with the goal of making database systems significantly more self-tuning. Initially, we focused on automating the ...

The role of the DBA is complex, requiring expertise in designing, implementing, managing, and tuning database systems. DBAs are also tasked with supporting developers, so they need to understand how ...

In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is ...

Databases will soon be capable of monitoring their own health, identifying bottlenecks, adjusting configurations, and even rerouting traffic in real time. Generative AI has already had a profound ...

Abstract: In recent years, the integration of natural language processing (NLP) with database querying has led to the emergence of Text-to-SQL systems, which enable nontechnical users to interact with ...

'Vibe coding' — the act of letting AI code for you instead of creating the code manually — has become a popular method for speeding up coding projects and cutting down on human involvement in the ...