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

Discovering Statistics Using IBM SPSS Statistics: Edition 5

The Hindus: An Alternative History

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

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?

Non-Bullshit Innovation: Radical Ideas from the World’s Smartest Minds

The Art of Statistics: Learning from Data

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

Discovering Statistics Using R

Outgrowing Modernity: Navigating Complexity, Complicity, and Collapse with Accountability and Compassion

Rethinking Analytical Sociology

Learning From Strangers: The Art and Method of Qualitative Interview Studies

Python: Master the Art of Design Patterns

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

Vue 7: From the Ground Up: The Official Guide

Building Data Science Teams

Data Structures and Algorithms

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