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Data Relationships Are Not a Feature — They Are InfrastructureRethinking the Modern Data Stack Through Arisyn
The value of data lies not merely in its volume, but in how to effectively associate and utilize it. 01 The Foundation of Data Applications - Data Association Data association refers to integrating and connecting data from diverse sources and formats to reveal relationships and patterns among them. Many enterprises regard data association as a feature or tool, but in reality, it should be recognized as part of the infrastructure — just like electricity, networks, and computin
Arisyn
Nov 27, 2025
Arisyn – A Novel NL2SQL Technology Distinct from Large Language Models
I. Wide Application Scenarios of Arisyn Background Recap As mentioned in previous articles, " Arisyn aims to achieve automatic data association in the field of data integration." It addresses the challenge of automatic association for relational data across multiple tables . Is this problem widely applicable, or is it a pseudo-proposition without practical demand? Let’s explore: 01 Relational Data Remains One of the Most Critical Data Assets While emerging technologies like
Arisyn
Nov 27, 2025
A Deep Analysis of Arisyn’s Product CapabilitiesAn Automatic Data Relationship Platform for Real-World Data Integration
1. Arisyn’s Mission In one sentence: Arisyn’s mission is to enable automatic data relationship discovery in data integration scenarios. This definition can be further expanded as follows: Application Scope Arisyn is designed for data integration use cases. At the simplest level, this includes relationships between multiple tables within the same system. At higher complexity, it supports relationship discovery across heterogeneous, multi-source data environments . Core Require
Arisyn
Nov 27, 2025
The Fatal Weakness of NL2SQLThe Data Relationship Problem — and How Arisyn Breaks the Deadlock
NL2SQL (Natural Language to SQL) is a technology that automatically converts natural language into Structured Query Language (SQL). Its development has always centered around the goal of "lowering the threshold for data querying". Evolving from rule-driven approaches to AI generalization, it has gradually become an important bridge connecting natural language and structured data. No technology develops in isolation. Starting from the 1970s with the "rule and template-based" m
Arisyn
Nov 27, 2025
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