面向大数据融合的区块链数据管理关键技术研究

大数据融合应用能够借助区块链数据管理技术打破数据孤岛、构建数据可信认证、提升数据质量并建立数据溯源机制。然而，区块链数据管理在存储结构、数据交互和查询处理等方面的缺陷成为了限制其应用的最大阻力。本项目所研究的面向大数据融合的区块链数据管理关键技术，主要解决大数据融合应用中由数据的海量性、可信性和可溯源性等因素造成的区块链数据存储代价高、共享安全性低和查询性能低等问题。为此，本项目在现有相关工作的基础上针对区块链数据管理的现存问题，研究区块链数据存储机制、跨链数据融合机制、区块链内外数据融合机制和区块链数据高效查询处理几个方面内容，实现区块链对大数据融合支撑的关键技术，并教育大数据领域应用。本项目的成果将解决区块链与大数据技术融合的核心科学问题，推动区块链技术在各领域中的应用发展。

With the help of blockchain data management technology, big data fusion application can address the problem of connecting the isolated data island, constructing data trusted authentication, improving data quality and establish data provenance mechanism. However, the limitations of blockchain data management in storage structure, data interaction and query processing has become the biggest resistance to be applied in big data. This project will focus on studying the key technology of blockchain data management for big data fusion, which mainly solves the problems of high cost of blockchain data storage, low data sharing security and low query processing performance caused by massive data, credibility and traceability in big data fusion applications. Therefore, based on the experience of existing related works, this project addresses the existing problems of blockchain data management by studying the blockchain data storage mechanism, cross chain data fusion mechanism, the mechanism for integrating the blockchain data and other datasets, and techniques of blockchain data query processing. We will implement the key technology of blockchain system for big data fusion, and construct the blockchain applications in the domain of education big data. The achievement of this project will provide the solution for addressing the kernel science problems on integrating big data and blockchain techniques, and will also improve the development of blockchain techniques to be used in more industries.