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

What Is Data Science?

Data Structures and Program Design Using C++

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

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

Data Governance Handbook: A practical approach to building trust in data

Building Data Science Teams

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

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

The Evolution of Data Products

FOUR PROJECTS: PREDICTION AND FORECASTING USING MACHINE LEARNING WITH PYTHON

Disruptive Possibilities: How Big Data Changes Everything

Data Jujitsu: The Art of Turning Data into Product

Interactive Dashboards and Data Apps with Plotly and Dash: Harness the power of a fully fledged frontend web framework in Python – no JavaScript required

Python Data Analysis

DATA ANALYSIS USING JDBC AND SQLITE WITH OBJECT-ORIENTED APPROACH AND APACHE NETBEANS IDE

Mastering D3.js: Part 3