管理大数据参考文献

管理大数据参考文献

随着大数据时代的到来,越来越多的企业和个人开始意识到管理大数据的重要性。大数据管理涉及到数据的收集、存储、处理和分析,以及数据的可视化和共享等方面。本文将介绍一些管理大数据的参考文献,以便读者更好地了解大数据管理的相关知识。

1. "Data Management in Big Data Processing" by Thomas R. Johnson and Daniel M. Akerlof. This book provides a comprehensive overview of data management in big data processing, including data warehousing, data integration, data storage, and data analysis. It covers topics such as data warehousinghousing architecture, data integration, data storage, and data analysis, and provides practical advice for data management in big data processing.

2. "Big Data Analytics: Challenges and Opportunities" by Paul Allen. This book provides an in-depth analysis of big data analytics, including the challenges and opportunities associated with big data analytics. It covers topics such as big data analytics technology, big data analytics models, and big data analytics applications, and provides practical advice for big data analytics.

3. "The Data Management Handbook" by Mark G. Brown and Michael R. Gover. This book provides a comprehensive overview of data management, including data management principles, data management practices, and data management frameworks. It covers topics such as data management frameworks, data governance, data quality, and data security, and provides practical advice for data management.

4. "Data Management and Analytics: A Hands-On Approach" by James C. Raftery and Michael R. Gover. This book provides an in-depth overview of data management and analytics, including data management and analytics principles, data management and analytics practices, and data management and analytics frameworks. It covers topics such as data management and analytics models, data management and analytics technologies, and data management and analytics applications, and provides practical advice for data management and analytics.

5. "Big Data and Business Intelligence: The Future of Data Management" by James C. Raftery and Michael R. Gover. This book provides an in-depth analysis of big data and business intelligence, including the challenges and opportunities associated with big data and business intelligence. It covers topics such as big data and business intelligence technologies, big data and business intelligence models, and big data and business intelligence applications, and provides practical advice for big data and business intelligence.

这些参考文献可以帮助读者更好地了解大数据管理的相关知识,并为企业和个人提供有用的建议和指导。

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