Graph, Loop, and Harness Engineering for Zero-Trust Agentic Data Engineering and Analytical Processing

arXiv:2609.29668 · cs.LG, cs.AI · Submitted 2026-08-30 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-08-30

Updated: 2026-08-30

Comments: Nill

License: http://creativecommons.org/licenses/by-nc-sa/4.0/

The gist: Large language model agents increasingly automate data workflows, but end-to-end cloud data engineering and analytical execution require reliable coordination across code, data, infrastructure, and

Terminology

• Verification — 63× in this paper · explained in 2 episodes
• Benchmark — 36× in this paper · explained in 2 episodes
• Grounding — 11× in this paper · explained in 3 episodes
• Abstraction — 6× in this paper · explained in 1 episode
• Agent Harness — 5× in this paper · explained in 1 episode
• Ablation — 4× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• Google Agent Development Kit — 3× in this paper
• Text-to-SQL — 3× in this paper · explained in 3 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Agentic AI — 2× in this paper · explained in 1 episode
• Change Data Capture — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Google Kubernetes Engine — 2× in this paper
• Identity and Access Management — 2× in this paper
• Internet of Things — 2× in this paper
• Model Context Protocol — 2× in this paper
• Model Context Protocol (MCP) — 2× in this paper · explained in 8 episodes
• Multi-Agent Framework — 2× in this paper · explained in 3 episodes
• Provenance — 2× in this paper · explained in 3 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Agentic AI Framework — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Domain Name System — 1× in this paper
• Predictive Maintenance — 1× in this paper · explained in 2 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Role-Based Access Control — 1× in this paper
• Web Application Firewall — 1× in this paper
• Workload Identity Federation — 1× in this paper

Abstract

Sources

• AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework
• DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines
• ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines
• Governing Cloud Data Pipelines with Agentic AI
• kRAIG: A Natural Language-Driven Agent for Automated DataOps Pipeline Generation
• Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow

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