Fundamentals of Software Architecture: An Engineering Approach Neal Ford, Mark Richards
97 Principles for Software Architects: Collective Wisdom from Industry Veterans
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97 Principles for Software Architects presents axioms for software architecture written by over four dozen leading software architects. The principles describe best practices in architecting and developing software learned from decades of collective experience. The lessons of this book will be useful to current and aspiring software architects, engineers, and anyone responsible for developing software. The material – originally published by the authors under the Creative Commons License – has been optimized for audio. Chapters include:
Simplify Essential Complexity; Diminish Accidental Complexity by Neil Ford
Database As a Fortress By Dan Chak
Don't Put Your Resume Ahead of the Requirements by Nitin Borwankar
Audio content for computer science and software engineering is rare, but the nature of these axioms – without diagrams or code samples – makes them perfect the medium. Become a more informed engineer as you walk the dog, commute to work, or cook your dinner.
© 2020 Open Source Audio (Lydbog): 9781662265730
Udgivelsesdato
Lydbog: 21. august 2020
Bøger, der ligner 97 Principles for Software Architects: Collective Wisdom from Industry Veterans
- Software Engineering at Google: Lessons Learned from Programming Over Time Tom Manshreck, Hyrum Wright, Titus Winters
- Clean Architecture: A Craftsman's Guide to Software Structure and Design Robert C. Martin
- Building Microservices: Designing Fine-Grained Systems Sam Newman
- Clean Agile: Back to Basics Robert C. Martin
- Fundamentals of Data Engineering: Plan and Build Robust Data Systems Matt Housley, Joe Reis
- Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking Foster Provost, Tom Fawcett
- Deep Learning John D. Kelleher
- Data Science For Dummies: 2nd Edition Lillian Pierson
- Data Mesh: Delivering Data-Driven Value at Scale Zhamak Dehghani
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann
- Coders at Work: Reflections on the Craft of Programming Peter Seibel
- Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures Neal Ford, Mark Richards, Zhamak Dehghani, Pramod Sadalage
- Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith Sam Newman
- AI at the Edge: Solving Real-World Problems with Embedded Machine Learning Jenny Plunkett, Daniel Situnayake
- Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems Bernard Marr
- Ask Your Developer: How to Harness the Power of Software Developers and Win in the 21st Century Jeff Lawson
- AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence Laurence Moroney
- Big Data Revolution: What farmers, doctors and insurance agents teach us about discovering big data patterns Rob Thomas, Patrick McSharry
- Cybersecurity For Dummies Joseph Steinberg
- Artificial Intelligence For Dummies Luca Massaron, John Paul Mueller
- Adapt: Why Success Always Starts with Failure Tim Harford
- The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI Tsedal Neeley, Paul Leonardi
- The Business of Venture Capital : The Art of Raising a Fund, Structuring Investments, Portfolio Management and Exits, 3rd Edition: The Art of Raising a Fund, Structuring Investments, Portfolio Management, and Exits, 3rd Edition Mahendra Ramsinghani
- 50 Economics Classics: Your shortcut to the most important ideas on capitalism, finance, and the global economy Tom Butler-Bowdon
- Hackers & Painters: Big Ideas from the Computer Age Paul Graham
- Artificial Intelligence: Modern Magic or Dangerous Future? Yorick Wilks
- The Clean Coder: A Code of Conduct for Professional Programmers Robert C. Martin
- Computational Thinking Peter J. Denning, Matti Tedre
- The Innovation Ultimatum: How Six Strategic Technologies Will Reshape Every Business in the 2020s Steve Brown
- All-in On AI: How Smart Companies Win Big with Artificial Intelligence Tom Davenport, Nitin Mittal
- Automate This: How Algorithms Came to Rule Our World Christopher Steiner
- Kissinger the Negotiator: Lessons from Dealmaking at the Highest Level James K. Sebenius, R. Nicholas Burns, Robert H. Mnookin
- Trustworthy AI: A Business Guide for Navigating Trust and Ethics in AI Beena Ammanath
- DeFi and the Future of Finance Campbell R. Harvey, Ashwin Ramachandran, Joey Santoro
- Site Reliability Engineering: How Google Runs Production Systems Chris Jones, Betsy Beyer, Jennifer Petoff, Niall Richard Murphy
- Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses Michele Chambers, Michael Minelli, Ambiga Dhiraj
- Learning Systems Thinking: Essential Non-Linear Skills and Practices for Software Professionals Diana Montalion
- Split the Pie: A Radical New Way to Negotiate Barry Nalebuff
- Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning Alex J. Gutman, Jordan Goldmeier
- The Real Business of Blockchain: How Leaders Can Create Value in a New Digital Age David Furlonger, Christophe Uzureau
- Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications Chip Huyen
- Shifting the Balance: How Top Organizations Beat the Competition by Combining Intuition with Data Mark Schrutt
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