Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning, Edition 2

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

Just Enough Software Architecture: A Risk-Driven Approach

Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale

AI Engineering: Building Applications with Foundation Models

Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images

Machine Learning Algorithms: Handbook: A step-by-step guide to all Machine Learning algorithms with implementation using Python!

Machine Learning Design Patterns

Domain-Driven Design: Tackling Complexity in the Heart of Software

Data Governance: The Definitive Guide

Algorithms: Edition 4

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

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Modern Software Engineering: Doing What Works to Build Better Software Faster

Cloud Computing Design Patterns

Software Engineering at Google: Lessons Learned from Programming Over Time

Microsoft Power Platform Enterprise Architecture: Design tailor-made solutions for architects and decision makers to meet complex business requirements, Edition 2

Predictive Analytics Applications with WEKA

Domain-Driven Design in PHP

Domain-Driven Design Reference: Definitions and Pattern Summaries