Fundamentals of Software Architecture: An Engineering Approach

Software Engineering at Google: Lessons Learned from Programming Over Time

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

User Story Mapping: Discover the Whole Story, Build the Right Product

Just Enough Software Architecture: A Risk-Driven Approach

Dataclysm: Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves

Crafting Interpreters

Practical Malware Analysis: The Hands-On Guide to Dissecting Malicious Software

Learning Patterns: Patterns for building powerful web apps with vanilla JavaScript and React

Mastering Microsoft Dynamics 365 Business Central: Discover extension development best practices, build advanced ERP integrations, and use DevOps tools

Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement

Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures

Developer Experience

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

What Is Data Science?

Exercises for Programming in C++ (Version 2021-04-01)

The Magic Of AI: Best Ways to Simplify Everyday Life

The Model Thinker: What You Need to Know to Make Data Work for You

Data Structures and Program Design Using C++

Automated Testing in Microsoft Dynamics 365 Business Central: Efficiently automate test cases for faster development cycles with less time needed for manual testing, Edition 2