Key Topics and Abstracts from DataFun Summit: Graph DB, Vector DB, Real-Time Data Warehouses, and Cloud‑Native Solutions

This document outlines how to obtain the summit e‑book: follow the DataFunSummit public account, send a private message with the keyword "洞察力" (Insight) to receive the download instructions.

Exploring XiaoHongShu's Distributed Graph Database (REDgraph) – The paper introduces REDgraph, a self‑developed graph database designed for massive social networks, optimizing distributed parallel queries to significantly improve query efficiency and performance. It discusses graph database concepts, comparisons with relational databases, application scenarios at XiaoHongShu, and technical challenges with solutions.

Next‑Generation Vector Database in the Era of Large Models – DingoDB – This article examines DingoDB’s multimodal vector database design and product advantages, highlighting its support for structured, semi‑structured, and unstructured data, high‑performance processing, and use cases such as business intelligence and data stream analytics in the large‑model era.

Tianqiong Autonomous Data Platform Practices in the Large‑Model Era – The piece shares Tencent’s Tianqiong big‑data autonomous platform’s new practices, covering data governance background, autonomous capability construction, dual‑engine implementation strategy, and future plans to advance big‑data autonomy.

Real‑Time Data Warehouse Architecture Based on Storage at Douyin Group – This article delves into Douyin’s application of a storage‑centric real‑time data warehouse to meet massive data processing demands, analyzing construction, data quality management, and service optimization strategies that enhance data‑driven decision‑making and user experience.

Financial‑Grade Real‑Time Data Warehouse Construction – The paper discusses Ant Group’s real‑time data warehouse architecture, real‑time data quality assurance, unified stream‑batch applications, and data lake deployment, providing valuable insights for the financial industry.

Alibaba Cloud ClickHouse Enterprise Edition: A New Generation Cloud‑Native Serverless Real‑Time Data Warehouse – This article introduces the ClickHouse Enterprise Edition, a cloud‑native serverless real‑time data warehouse built on open‑source ClickHouse, detailing its core features and elastic serverless capabilities for real‑time analytics.

Best Practices for Data Warehouse Construction and Governance in the Financial Industry – The article shares best practices covering data governance background, construction content, enterprise‑level data warehouse building, governance outcomes, and future planning.

58.com User Profile Data Warehouse Construction Practice – This piece presents 58.com’s experience in building a user‑profile data warehouse, including an overview of data warehouses and user profiling, construction process, results, and summary, demonstrating how to create an efficient user data system.