Resources

Here I would like to present interesting Books / Articles / Resources divided by themes (according to my University courses) for further thinking and self-improvement.

[An Introduction into Relational Databases]

  • {a fundamental book} An Introduction to Database Systems (by C. J. Date)
  • {a fundamental book} Database Systems: The Complete Book (by Jeffrey D. Ullman, Hector Garcia-Molina, Jennifer Widom)
  • {a fundamental book} SQL and Relational Theory. How to write Accurate SQL Code (by C.J.Date)
  • {a practice book} SQL Fundamental course. Educational and practical guide (by E.P. Morgunov)
  • {a fundamental book} Readings in Database Systems (by Peter Bailis, Joseph M. Hellerstein, Michael Stonebraker)

[Advanced Relational Databases]

  • {a practice book} PostgreSQL 9.6 High Performance (by Ibrar Ahmed, Gregory Smith)
  • {a practice book} MySQL High Availability (by Charles Bell, Mats Kindabl, Lars Thalmann)
  • {a practice book} Introducing InnoDB Cluster (by Charles Bell)
  • {a presentation} Understanding EXPLAIN
  • {a fundamental book} Database System Concepts (by  Abraham Silberschatz, Henry F. Korth, S. Sudarshan)
  • {a fundamental book} Database Internals (by Alex Petrov)

[Data Mining]

  • {a fundamental book} Data Mining (by Charu C. Aggarwal)
  • {a fundamental book} Outlier Analysis (by Charu C. Aggarwal)
  • {a fundamental book} Social Network Data Analysis (by Charu C. Aggarwal)
  • {a fundamental book} Mining of Massive Datasets (by Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman)
  • {a fundamental book} Google’s PageRank and Beyond: The Science of Search Engine Rankings (by Amy N. Langville, Carl D. Meyer)
  • {a fundamental book} Data Mining Concepts and Techniques (by Jiawei Han, Micheline Kamber, Jian Pei)

[Other resources]

  • A Cloud Guru” educational platform. Everything is about Clouds.