Technical Topics Overview from DataFun Summit: Graph Database, Vector Database, Real-time Data Warehouse, and Cloud‑Native Solutions
The article presents a collection of technical overviews—including a graph database for distributed queries, a next‑generation vector database, real‑time data warehouse architectures at Douyin and Ant Group, a cloud‑native ClickHouse service, and best practices for financial data warehousing—while also explaining how to obtain the related e‑book.
To obtain the e‑book, follow the instructions to follow the DataFunSummit public account and send a private message with the keyword “洞察力”.
Exploring Xiaohongshu’s Graph Database REDgraph for Distributed Parallel Queries – This article introduces REDgraph, a self‑developed graph database designed for massive social networks, detailing its distributed parallel query optimizations, performance gains, and comparison with relational databases.
Next‑generation Vector Database DingoDB in the Era of Large Models – The paper discusses DingoDB’s multimodal vector storage, its support for structured, semi‑structured, and unstructured data, and its applications in business intelligence and data stream analysis.
Real‑time Data Warehouse Architecture Based on Storage at Douyin Group – The article examines Douyin’s real‑time warehouse design, data quality management, and service optimization strategies for large‑scale data processing.
Financial‑grade Real‑time Data Warehouse Practices – This piece outlines Ant Group’s real‑time warehouse architecture, data quality assurance, unified batch‑stream processing, and future data lake directions for the financial sector.
Alibaba Cloud ClickHouse Enterprise Edition: A New Cloud‑Native Serverless Real‑time Warehouse – The article presents the features of ClickHouse Enterprise, its serverless elasticity, and its role as a real‑time analytics solution.
Best Practices for Data Warehouse Construction and Governance in the Financial Industry – The article shares governance background, construction content, enterprise‑level warehouse building, governance outcomes, and future plans.
58.com User Profile Data Warehouse Construction Practice – This article describes the building process, results, and summary of a user‑profile data warehouse at 58.com.
DataFunTalk
Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.
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