Scaling distributed SQL queries needs more performance and efficiency in the agentic AI era. It’s a challenge Cockroach is looking to solve.

AI and multimodal data are reshaping analytics. Success requires architectural flexibility: matching tools to tasks in a ...

Teradata offers advanced DMA capabilities, including in-database analytics, distributed query processing, self-service, data integration, automation, and workload management. Teradata Vantage provides ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Traffic mirroring has evolved from a network security tool to a robust method for debugging and testing microservices using ...

Abstract: The application of a combination of join and semi-join operations to minimize the amount of data transmission required for distributed query processing is discussed. Specifically, two ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

LandingAI, a pioneer in agentic vision technologies, today announced the major upgrades to Agentic Document Extraction (ADE). Unlike traditional optical character recognition (OCR), ADE sees a PDF or ...

This study provides useful information on the impact of Lamin A/C knockdown on gene expression using RNA-Seq analysis. In addition, the impact of Lamin A/C knockdown on telomere dynamics is explored ...

processing, and update costs at one central location excessive. The P2P paradigm emerges as a powerful model for organizing and searching large data repositories distributed over independent sources.

When a search query aligns with transactional intent ... a chance to tell your brand story and further engage them in the process.