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DataFunSummit

Official account of the DataFun community, dedicated to sharing big data and AI industry summit news and speaker talks, with regular downloadable resource packs.

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Recent Articles

Latest from DataFunSummit

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DataFunSummit
DataFunSummit
May 23, 2026 · Artificial Intelligence

Designing Next‑Gen Recommendation and Search Systems with Agentic Architectures

The article analyzes cutting‑edge AI search and recommendation technologies—including Alibaba Cloud's Agentic RAG, Huawei Noah's LLM‑enhanced recommendation pipeline, and Baidu's generative ranking model GRAB—detailing their architectural evolution, multi‑modal retrieval strategies, GPU acceleration gains, and measured performance improvements.

AI SearchAgentic RAGGPU Acceleration
0 likes · 5 min read
Designing Next‑Gen Recommendation and Search Systems with Agentic Architectures
DataFunSummit
DataFunSummit
May 23, 2026 · Databases

Data Revolution in the AGI Era: Shifting from Human‑Managed to AI‑Governed Paradigms

As AI agents begin generating hundreds of lines of code and rapidly iterating database changes, traditional DBA manual review becomes obsolete; NineData’s AI‑native cloud‑native platform leverages intelligent SQL generation, automated review, and ChatDBA to boost development efficiency tenfold, cut repetitive work by 90%, and deliver high‑availability, secure, multi‑cloud data management at enterprise scale.

AI databasesCloud NativeDevOps
0 likes · 15 min read
Data Revolution in the AGI Era: Shifting from Human‑Managed to AI‑Governed Paradigms
DataFunSummit
DataFunSummit
May 22, 2026 · Artificial Intelligence

Why Memory Is the Bottleneck for AI Agents and How MemOS Achieves 200% Cloud Call Growth

The article analyses how memory has become the critical limitation for AI agents, details the MemOS framework’s five‑layer architecture that fuses model‑driven and application‑driven approaches, presents cloud service usage surging over 200%, and explains how these advances address scalability, privacy, and performance challenges in enterprise deployments.

AI memoryAgent ArchitectureCloud AI services
0 likes · 18 min read
Why Memory Is the Bottleneck for AI Agents and How MemOS Achieves 200% Cloud Call Growth
DataFunSummit
DataFunSummit
May 22, 2026 · Big Data

How OPPO Accelerates Multimodal Data & AI Fusion with Gravitino and Curvine

OPPO tackles explosive multimodal data growth by unifying metadata with Gravitino and boosting I/O performance using the open‑source Curvine cache, delivering a four‑layer data‑lake architecture that resolves data islands, metadata chaos, and bandwidth bottlenecks while achieving near‑commercial query speeds.

CurvineDistributed CacheGravitino
0 likes · 11 min read
How OPPO Accelerates Multimodal Data & AI Fusion with Gravitino and Curvine
DataFunSummit
DataFunSummit
May 21, 2026 · Big Data

Alibaba Cloud’s Agent-Ready Big Data AI Infrastructure: Boosting Data Development from Hours to Minutes

Facing a projected 85% of enterprises deploying internal agents within two years, Alibaba Cloud proposes an Agent-Ready big‑data AI infrastructure—comprising a unified data lake, real‑time processing, high‑dimensional vector retrieval, elastic model serving, and comprehensive security governance—that has already cut data‑development cycles from hours to 5‑10 minutes in internal model‑training and Taobao flash‑sale scenarios.

AIAgent-ReadyBig Data
0 likes · 15 min read
Alibaba Cloud’s Agent-Ready Big Data AI Infrastructure: Boosting Data Development from Hours to Minutes
DataFunSummit
DataFunSummit
May 21, 2026 · Artificial Intelligence

Designing Next‑Gen Recommendation and Search with Intelligent Agent Architecture

The article reviews a collection of technical chapters that analyze how multi‑agent AI architectures, large‑language‑model‑enhanced recommendation pipelines, generative ranking for ads, and Elasticsearch‑based vector RAG are applied to build next‑generation recommendation and search systems, citing concrete designs, performance numbers and real‑world deployments.

AI agentsElasticsearchGenerative Ranking
0 likes · 6 min read
Designing Next‑Gen Recommendation and Search with Intelligent Agent Architecture
DataFunSummit
DataFunSummit
May 20, 2026 · Big Data

How Kuaishou’s Real‑Time Data Lake Boosts AI and BI Architecture

The article explains how Kuaishou partnered with Apache Hudi to overhaul its ODS‑based data lake, addressing latency, storage cost, and complexity for AI and BI workloads, detailing the evolution from mysql‑to‑hive to mysql‑to‑hudi 1.0 and 2.0, the resulting performance gains, cost savings, and future roadmap.

AIBIBig Data
0 likes · 20 min read
How Kuaishou’s Real‑Time Data Lake Boosts AI and BI Architecture
DataFunSummit
DataFunSummit
May 20, 2026 · Databases

Apache Doris 4.1: A Unified Data Store and Retrieval Engine for AI & Search

Apache Doris 4.1 introduces a systematic evolution for AI and search workloads, adding low‑cost massive vector storage, unified structured, full‑text and vector search, 100 MB JSON document support, Segment V3 metadata decoupling, sparse column optimizations, lakehouse lifecycle management, and a suite of performance‑boosting features such as aggregate push‑down, condition cache, and spill‑to‑disk, all backed by detailed benchmark results.

AIApache DorisLakehouse
0 likes · 30 min read
Apache Doris 4.1: A Unified Data Store and Retrieval Engine for AI & Search
DataFunSummit
DataFunSummit
May 19, 2026 · Databases

Building an AI‑Ready, Multi‑Modal Database Foundation for the Digital Intelligence Era

The talk outlines the AI era’s three major challenges for large language models and data (stability, 3V, resource limits), presents YashanDB’s original theory breakthroughs—including resource‑constrained computing, shared‑cluster performance and adaptive transaction scheduling—details a multi‑modal fusion architecture, introduces the KSA trustworthy knowledge‑engineering framework, and showcases real‑world deployments in smart‑city and energy domains.

AI-Ready Data PlatformEnergy IndustryKnowledge Engineering
0 likes · 16 min read
Building an AI‑Ready, Multi‑Modal Database Foundation for the Digital Intelligence Era
DataFunSummit
DataFunSummit
May 19, 2026 · Artificial Intelligence

Designing Next‑Gen Recommendation and Search with Agentic RAG Architecture

The article reviews cutting‑edge AI techniques for high‑concurrency, multimodal recommendation and search, detailing Alibaba Cloud's Agentic RAG evolution, Huawei Noah's LLM‑enhanced recommendation pipeline, and Baidu's generative ranking model GRAB, each with architecture diagrams, performance metrics, and real‑world deployment insights.

AI agentsAgentic RAGGenerative Ranking
0 likes · 6 min read
Designing Next‑Gen Recommendation and Search with Agentic RAG Architecture