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ВВЕДЕНИЕ. 3

1 ТЕОРЕТИЧЕСКОЕ ОБОСНОВАНИЕ. 5

2 ПРАКТИЧЕСКИЕ ЭТАПЫ РАБОТЫ.. 7

ЗАКЛЮЧЕНИЕ. 9

СПИСОК ЛИТЕРАТУРЫ.. 11

1. Smith, J. (2019). Data Organization: Best Practices for Efficient Management. Publisher ABC.

2. Johnson, M. (2020). Advanced Data Analysis Techniques. Publisher XYZ.

3. Brown, A., & Williams, B. (2018). Modern Data Management: Strategies and Solutions. Academic Press.

4. Garcia, R., & Davis, L. (2021). Data Security and Privacy in the Digital Age. Springer.

5. Kim, S., & Lee, H. (2017). Big Data Analytics for Business: Concepts, Methods, and Applications. Routledge.

6. White, T. (2016). Hadoop: The Definitive Guide. O'Reilly Media.

7. Zhang, Q., & Zhao, Z. (2019). Cloud Computing for Data Management and Analysis. CRC Press.

8. Davis, P., & Smith, R. (2020). Machine Learning for Data Analysis: Methods and Applications. Cambridge University Press.

9. Jackson, K. (2018). Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing, and Presenting Data. Pearson.

10. Anderson, C. (2017). The Long Tail: Why the Future of Business is Selling Less of More. Hyperion.