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

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

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

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Handbook of Optimization in Telecommunications

Domain Modeling Made Functional: Tackle Software Complexity with Domain-Driven Design and F#

The Model Thinker: What You Need to Know to Make Data Work for You

Maple in Mathematics Education and Research: Third Maple Conference, MC 2019, Waterloo, Ontario, Canada, October 15–17, 2019, Proceedings

Data Structures and Program Design Using C++

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

Mathematics Without Boundaries: Surveys in Interdisciplinary Research

Building Data Science Teams