Trendora

Data Mesh

Hold

Techniques

A decentralized data architecture that treats domain teams as owners of their data products.

Why it's here

Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

  • 4InfoQ·8/29/2026research
    TOTVS Architectures Data Layers for AI Agents

    Fabiane Nardon describes how TOTVS is preparing enterprise data for AI agents that consume large amounts of context. The approach combines deterministic transaction systems with semantic models, data mesh, low-latency databases, and dynamic MCP tool selection to improve precision, security, and token efficiency.