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

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

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

What Is Data Science?

Learning Agile: Understanding Scrum, XP, Lean, and Kanban

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

Enhancing Productivity with Notion: Save time on projects by supercharging your productivity with Notion's powerful features and templates

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

Data Structures and Algorithms

The Evolution of Data Products

GameMaker Essentials

Mastering Microsoft Dynamics 365 Business Central: Discover extension development best practices, build advanced ERP integrations, and use DevOps tools

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

Data Jujitsu: The Art of Turning Data into Product