Data Mesh: What Is Data Mesh? Principles of Data Mesh Architecture

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

Data as a Product: How to Provide the Data That the Company Needs

Dataclysm: Who We Are (When We Think No One's Looking)

Power BI: Unleashing Insights with Power BI. A Comprehensive Guide to Data Visualization and Business Intelligence

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

Model Evaluation: Evaluating the Performance and Accuracy of Data Warehouse Models

Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement

Fundamentals of Data Engineering: Designing and Building Scalable Data Systems for Modern Applications

Summary of Scott E. Page's The Model Thinker

Deep Learning with Python: A Comprehensive guide to Building and Training Deep Neural Networks using Python and popular Deep Learning Frameworks

Data Science For Dummies: 2nd Edition

Data Virtualization: The Power of Unified Data. Harnessing the Benefits of Data Virtualization

Cryptography And Computer Science: Design Manual For Algorithms, Codes And Ciphers

Data Lake: Strategies and Best Practices for Storing, Managing, and Analyzing Big Data

Bioinformatics: Algorithms, Coding, Data Science And Biostatistics

Aws Data Analytics for Beginners: Unleashing the Power of Data: Insights and Solutions with AWS Analytics

Data-Intensive Applications: Design, Development, and Deployment Strategies for Scalable and Reliable Systems

Microservices: Novice To Ninja: Build, Design And Deploy Distributed Services

Python Machine Learning for Beginners: Python Machine Learning Essentials. Build Your First AI Application