Big Data 5 min read

Data Summit Abstracts: Graph Database, Vector Database, Real-time Data Warehouse, and Cloud‑Native Analytics

The article presents a series of technical abstracts covering Xiaohongshu's distributed graph database, DingoDB's multimodal vector store, Tianqiong's autonomous data‑warehouse innovations, Douyin's storage‑based real‑time warehouse, financial‑grade real‑time warehousing, Alibaba Cloud ClickHouse Serverless, best practices in financial data governance, and 58.com’s user‑profile warehouse construction.

DataFunSummit
DataFunSummit
DataFunSummit
Data Summit Abstracts: Graph Database, Vector Database, Real-time Data Warehouse, and Cloud‑Native Analytics

Exploration of Xiaohongshu Graph Database in Distributed Parallel Query This paper details Xiaohongshu's self‑developed graph database system REDgraph, designed for massive social networks and optimized for distributed parallel queries, significantly improving query efficiency and performance. It discusses graph database concepts, comparisons with relational databases, application scenarios at Xiaohongshu, and technical challenges with solutions.

Exploration and Application of Next‑Generation Vector Database DingoDB in the Era of Large Models The article examines DingoDB’s multimodal vector database design and product advantages, highlighting its suitability for large‑model applications. DingoDB supports structured, semi‑structured, and unstructured data, offering high‑performance processing for business intelligence, data stream analysis, and other scenarios.

New Practices of Tianqiong Data Warehouse Autonomy in the Era of Large Models This piece shares Tencent Tianqiong’s autonomous big‑data platform innovations for the large‑model era, covering data governance background, autonomous capability construction, a dual‑engine implementation strategy, and future plans aimed at advancing big‑data autonomy.

Application of Storage‑Based Real‑time Data Warehouse Architecture in Douyin Group The paper delves into how Douyin Group employs a storage‑centric real‑time data warehouse to meet massive data processing demands, analyzing warehouse construction, data quality management, and optimization strategies for data services, showcasing technical strength in data‑driven decision making and user experience enhancement.

Financial‑Grade Real‑time Data Warehouse Construction Practice The article outlines Ant Group’s real‑time data warehouse architecture, real‑time data quality assurance, unified stream‑batch applications, and data‑lake deployment outlook, providing valuable experience for the financial sector.

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

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

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

cloud-nativeBig Datavector databasegraph databaseData Governancereal-time data warehouse
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