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Semantic Layer

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DataFunSummit
DataFunSummit
Nov 18, 2024 · Artificial Intelligence

Intelligent Data Analysis: Agent Architecture Combined with Semantic Layer for Product Implementation

This article explores how large‑model technologies can address data analysis challenges by introducing an Agent‑based architecture integrated with a semantic layer, detailing design principles, optimization paths, technical implementation, real‑world retail case studies, product design considerations, and future directions for intelligent analytics.

AISemantic Layeragent architecture
0 likes · 22 min read
Intelligent Data Analysis: Agent Architecture Combined with Semantic Layer for Product Implementation
DataFunSummit
DataFunSummit
Aug 15, 2024 · Artificial Intelligence

Building an LLM‑Driven Metric Platform for Data Democratization

This article explains how large language models (LLMs) can launch data democratization by constructing a metric platform that combines LLM agents, semantic layers, NL2SQL/NL2API pipelines, warehouse‑internal and external semantics, and showcases SwiftAgent/SwiftMetrics innovations, real‑world case studies, and future directions.

AI AgentsBig DataData Democratization
0 likes · 13 min read
Building an LLM‑Driven Metric Platform for Data Democratization
DataFunTalk
DataFunTalk
Jul 1, 2024 · Big Data

JD Retail Metric Middle Platform: Architecture, Semantic Layer, Production, Governance and Practical Cases

This article presents JD Retail’s metric middle‑platform practice, describing the background problems of legacy metric systems, the four‑step solution framework, the overall architecture, semantic‑layer construction with the 4W1H method, configurable metric production, acceleration techniques, governance mechanisms, achieved results and future plans.

Big DataSemantic Layerdata platform
0 likes · 19 min read
JD Retail Metric Middle Platform: Architecture, Semantic Layer, Production, Governance and Practical Cases
DataFunSummit
DataFunSummit
Jan 24, 2024 · Big Data

Trends, Challenges, and Technical Practices of Modern Data Analysis and Indicator Platforms

This article reviews the evolution of data analysis and business intelligence, highlights current trends such as precision, agility, and real‑time needs, discusses common challenges, and presents the design and implementation of a unified semantic layer and indicator platform to enable agile, accurate, and real‑time analytics.

Big DataSemantic Layerdata analysis
0 likes · 14 min read
Trends, Challenges, and Technical Practices of Modern Data Analysis and Indicator Platforms
DataFunTalk
DataFunTalk
Sep 6, 2023 · Databases

Large Model + OLAP: Enabling a New Data Service Platform

This article details how Tencent Music combines large language models with an Apache Doris‑based OLAP engine, introduces a semantic layer, manual‑experience routing, schema mapping and plugin integration, and outlines the evolution of its data architecture through four versions to achieve real‑time, cost‑effective, and scalable intelligent data services.

Apache DorisOLAPSemantic Layer
0 likes · 24 min read
Large Model + OLAP: Enabling a New Data Service Platform
DeWu Technology
DeWu Technology
May 22, 2021 · Big Data

Unified Semantic Layer for Data Development: Addressing Pain Points and Optimizing Queries

A unified semantic layer for data development solves metric‑change ripple effects, developer burden, and large‑scale query performance problems by offering consistent metric definitions, multi‑view access, concise auto‑generated SQL, instant propagation of updates, and engine‑driven optimal query selection, thereby bridging business and engineering and cutting maintenance effort.

Big DataOLAPQuery Optimization
0 likes · 5 min read
Unified Semantic Layer for Data Development: Addressing Pain Points and Optimizing Queries