Bibliografía

Alattar, Munqath, and Attila Sali. 2020. Strongly Possible Keys for SQL. J. Data Semant. Vol. 9. 2-3. https://doi.org/10.1007/s13740-020-00113-8.

Arzamasova, Natalia. 2020. SQL Query Log Analysis for Identifying User Interests and Query Recommendations. Karlsruhe Institute of Technology, Germany. https://nbn-resolving.org/urn:nbn:de:101:1-2020120903595121003602.

Badia, Antonio. 2020. SQL for Data Science - Data Cleaning, Wrangling and Analytics with Relational Databases. Data-Centric Systems and Applications. Springer. https://doi.org/10.1007/978-3-030-57592-2.

Cannan, S. J., and G. A. M. Otten. 1993. SQL–the Standard Handbook; Based on the New SQL Standard (ISO 9075: 1992 (e)). USA: McGraw-Hill, Inc.

Choi, Hoyong, Sangjin Lee, and Doowon Jeong. 2021. Forensic Recovery of SQL Server Database: Practical Approach. IEEE Access. Vol. 9. https://doi.org/10.1109/ACCESS.2021.3052505.

DeBarros, Anthony. 2018. Practical SQL: A Beginner’s Guide to Storytelling with Data. USA: No Starch Press.

Ding, Guohui, Shasha Sun, and Guoren Wang. 2020. Schema Matching Based on SQL Statements. Distributed Parallel Databases. Vol. 38. 1. https://doi.org/10.1007/s10619-019-07268-9.

Fehily, Chris. 2005. SQL, Second Edition (Visual QuickStart Guide). USA: Peachpit Press.

Meier, Andreas, and Michael Kaufmann. 2019. SQL & NoSQL Databases: Models, Languages, Consistency Options and Architectures for Big Data Management. Springer Vieweg.