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

The Art of Statistics: Learning from Data

The Hindus: An Alternative History

Discovering Statistics Using IBM SPSS Statistics: Edition 5

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

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

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

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

What Is Data Science?

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

Discovering Statistics Using R

Rethinking Analytical Sociology

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

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

Vue 7: From The Ground Up

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

Advanced Analytics with Spark: Patterns for Learning from Data at Scale, Edition 2

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM): Edition 2