Organizations today struggle to handle vast amounts of information stored across multiple databases, registers and systems.

Learn advanced architectures and techniques for ETL process optimization. Master CDC, set-based processing, and bulk loading ...

Top GitHub database repositories for SQL tools, data engineering, analytics databases, and open source systems used in modern ...

Abstract: In this paper, a distributed data storage and efficient query optimization method for tobacco manufacturing information system is proposed to meet the massive and complex data processing ...

Query optimisation in distributed database systems addresses the challenge of selecting an efficient execution plan across multiple networked nodes. Owing to the combinatorial explosion of possible ...

Abstract: The paper examines the problem of optimizing data processing in recommender systems operating within distributed PostgreSQL databases. It presents a systematic multi-layer SQL optimization ...

Summary: OpenAI’s Codex for Mac has added Chronicle, a research preview feature that periodically captures screenshots, sends them to OpenAI’s servers for processing, and stores text summaries as ...

Enterprise database infrastructure is undergoing its most consequential redesign in decades, as agentic AI workloads demand a level of elasticity that legacy architectures were never built to provide.

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

A new tool from Google Cloud aims to improve the accuracy of AI agents querying databases in multi-agent systems or applications. However, to create that necessary understanding, enterprise teams ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...