References
[1]
Beck K. Tidy First? O’Reilly Media,
Inc. (2023).
[2]
Callaway E. Chemistry Nobel Goes to Developers
of AlphaFold AI That Predicts Protein Structures. Nature
634(8034), 525–526 (2024).
[3]
Davis C. Cloud Native Patterns: Designing
Change-Tolerant Software. Simon; Schuster (2019).
[4]
Dean J, Ghemawat S. MapReduce: Simplified Data
Processing on Large Clusters. Communications of the ACM 51(1),
107–113 (2008).
[5]
Foote B, Yoder J. Big Ball of Mud. Pattern
languages of program design 4, 654–692 (1997).
[6]
Ford N, Parsons R, Kua P, Sadalage P.
Building Evolutionary Architectures. O’Reilly Media, Inc.
(2022).
[7]
Forsgren N, Humble J, Kim G. Accelerate:
The Science of Lean Software and Devops: Building and Scaling High
Performing Technology Organizations. IT Revolution (2018).
[8]
Fowler M. Refactoring: Improving the Design
of Existing Code. Addison-Wesley Professional (2018).
[9]
Freiesleben T, Molnar C. Supervised Machine Learning for
Science: How to Stop Worrying and Love Your Black Box.
(2024).
[10]
Horn F. A Practitioner’s Guide to
Machine Learning. (2021).
[11]
Kleppmann M. Designing Data-Intensive
Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable
Systems. O’Reilly Media, Inc. (2017).
[12]
Knaflic CN. Storytelling with Data: A Data
Visualization Guide for Business Professionals. John Wiley &
Sons (2015).
[13]
McChrystal GS, Collins T, Silverman D, Fussell
C. Team of Teams: New Rules of Engagement for a Complex World.
Penguin (2015).
[14]
Normand E. Grokking Simplicity: Taming
Complex Software with Functional Thinking. Simon; Schuster
(2021).
[15]
Ousterhout JK. A Philosophy of Software
Design. Yaknyam Press Palo Alto, CA, USA (2018).
[16]
Richards M, Ford N. Fundamentals of
Software Architecture: An Engineering Approach. O’Reilly Media,
Inc. (2020).
[17]
Serra J. Deciphering Data
Architectures. O’Reilly Media, Inc. (2024).