交通大数据环境下的数据治理策略

Data Governance Strategy in the Traffic Big Data Environment

随着科技的进步,大数据在交通领域中的应用日益广泛,如流量预测、拥堵管理、安全和智能系统等。然而,大数据的海量、高速、多样性和低价值密度也带来了一定的挑战,如数据存储、处理、整合、清洗、质量、准确性、安全性和隐私保护等。因此,数据治理显得尤为重要。数据治理是对数据的全面管理和运营,对于交通大数据环境而言,其重要性尤为突出。良好的数据治理策略可以提升数据管理成效,提高数据的质量和准确性,保障数据安全和隐私,增加数据的应用价值。文中提出了一套交通大数据的数据治理策略,包括数据质量管理、数据集成、数据安全和隐私保护、数据存储和处理、元数据管理等,以期实现更好的数据治理效果。

With the advancement of science and technology,big data is increasingly widely used in the transportation field,such as traffic forecasting,congestion management,security and intelligence systems.However,the massive,high-speed,diverse and low value density of big data also brings certain challenges,such as data storage,processing,integration,cleaning,quality,accuracy,security and privacy protection.Therefore,data governance is particularly important.Data governance is the comprehensive management and operation of data,and its importance is particularly prominent for the transportation big data environment.A good data governance strategy can improve the effectiveness of data management,improve the quality and accuracy of data,ensure data security and privacy,and increase the application value of data.This paper proposes a set of data governance strategies for traffic big data,including data quality management,Data Transmission Service,data security and privacy protection,data storage and processing,metadata management,etc.,in order to achieve better data governance results.