Data Analytics with Hadoop: An Introduction for Data Scientists

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

Practical Data Science Cookbook: Edition 2

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

AI Engineering: Building Applications with Foundation Models

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Prompt Engineering - The Ultimate Guide for Success in Artificial Intelligence

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

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

What Is Data Science?

Driving Data Quality with Data Contracts: A comprehensive guide to building reliable, trusted, and effective data platforms

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

From ML Algorithms to GenAI & LLMs: Master ML Algorithms and Generative AI & LLMs with Python from scratch!

Managing Data as a Product: Design and build data-product-centered socio-technical architectures

Python: Master the Art of Design Patterns

Building Data Science Teams

Data Structures and Algorithms

Introduction to Machine Learning with Python: A Guide for Data Scientists

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking