10本大数据导论教材推荐：学习大数据必备参考书

以下是10本关于大数据导论的参考文献：

1. C. C. Aggarwal. Data Mining: The Textbook. Springer, 2015.
2. V. Ganti, J. Gehrke, and R. Ramakrishnan. Mining of Massive Datasets. Cambridge University Press, 2012.
3. T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, 2009.
4. I. H. Witten, E. Frank, and M. A. Hall. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, 2016.
5. Y. S. Ong, A. C. Lim, and G. Jin. Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications. Springer, 2015.
6. D. Zeng, H. Yang, and V. C. M. Leung. Big Data: A Survey. Mobile Networks and Applications, 19(2), 2014, pp. 171-209.
7. C. Zikopoulos, D. deRoos, and K. Parasuraman. Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. McGraw-Hill Education, 2011.
8. D. H. Bailey. Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses. Wiley, 2012.
9. I. Foster, and Y. Zhao. Big Data and e-Science. Computing in Science & Engineering, 14(4), 2012, pp. 4-5.
10. E. Chen, and A. Zhang. Data-Intensive Computing: Architectures, Algorithms, and Applications. CRC Press, 2013.

请注意，这只是一个参考列表，根据您的具体需求和兴趣，可能还有其他更适合的书籍。