Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis

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

Machine Learning and Data Mining in Aerospace Technology

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

Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications

Business Statistics and Data Processing

Storytelling with Data: Let's Practice!

Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2020

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

Enabling Machine Learning Applications in Data Science: Proceedings of Arab Conference for Emerging Technologies 2020

Bayesian Analysis with Python: A practical guide to probabilistic modeling, Edition 3

Machine Learning Paradigms: Theory and Application

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