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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 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 AgentsElasticSearchRAG
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 IndustryMulti-Modal Database
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 RAGSearch Architecture
0 likes · 6 min read
Designing Next‑Gen Recommendation and Search with Agentic RAG Architecture
DataFunSummit
DataFunSummit
May 18, 2026 · Cloud Native

How AI Is Redefining Cloud‑Native Databases: The Serverless Elasticity and Evolution of TDSQL‑C

The article outlines how Tencent Cloud's TDSQL‑C tackles the four core pain points of traditional databases—elasticity, tuning difficulty, cost waste, and operational complexity—by adopting a storage‑compute‑separated, Serverless architecture, AI‑driven predictive scaling, a self‑learning optimizer, and the AI Navigator management system, delivering up to 30% performance gains and 20% cost reduction in real‑world use cases.

AI optimizerHermes AgentTDSQL-C
0 likes · 13 min read
How AI Is Redefining Cloud‑Native Databases: The Serverless Elasticity and Evolution of TDSQL‑C
DataFunSummit
DataFunSummit
May 18, 2026 · Artificial Intelligence

From Single‑Point Copilot to Platform‑Level Agentic: Real Challenges and Future Paths for Data Platforms

A 90‑minute live discussion examined how data platforms must evolve from simple Copilot assistants to fully agentic systems, covering architectural redesign, security guardrails, knowledge‑base integration, evaluation pitfalls, cost management, and whether the future favors a super‑agent or a multi‑agent ecosystem.

Cost ManagementData PlatformEvaluation
0 likes · 20 min read
From Single‑Point Copilot to Platform‑Level Agentic: Real Challenges and Future Paths for Data Platforms
DataFunSummit
DataFunSummit
May 18, 2026 · Artificial Intelligence

How Palantir’s Ontology‑Based Semantic Network Drove 85% Growth and Zero Churn

Palantir’s Q1 2026 revenue jumped 85% while many AI firms saw valuations collapse, and the company attributes its success to replacing cheap‑token LLM wrappers with a deep ontology‑driven semantic network that secures high‑risk AI deployments, creates a durable moat, and delivers unprecedented net‑retention.

AI InfrastructureCompetitive landscapeEnterprise AI
0 likes · 10 min read
How Palantir’s Ontology‑Based Semantic Network Drove 85% Growth and Zero Churn
DataFunSummit
DataFunSummit
May 17, 2026 · Artificial Intelligence

How Agentic Architecture Powers Next‑Generation Recommendation and Search Systems

The article reviews cutting‑edge AI search and recommendation techniques—including Alibaba Cloud's Agentic RAG, Huawei Noah's LLM‑enhanced recommender, Baidu's generative ranking model GRAB, and Elasticsearch‑based vector RAG—detailing their challenges, architectural evolutions, performance gains, and real‑world deployment results.

AI searchAgentic RAGElasticSearch
0 likes · 6 min read
How Agentic Architecture Powers Next‑Generation Recommendation and Search Systems