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

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

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

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

What Is Data Science?

Python: Master the Art of Design Patterns

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

Building Data Science Teams

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, Edition 2

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

DATA SCIENCE WITH MYSQL, SQLITE, POSTGRESQL, AND SQL SERVER USING PYTHON GUI

Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)

Data Structures and Algorithms

The Evolution of Data Products

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data