Market-Oriented Grid and Utility Computing

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

Optimization Techniques for Solving Complex Problems

Algorithms and Protocols for Wireless and Mobile Ad Hoc Networks

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

High Performance Heterogeneous Computing

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

Large-Scale Computing Techniques for Complex System Simulations

Verification of Communication Protocols in Web Services: Model-Checking Service Compositions

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

Cloud Computing: Principles and Paradigms

The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business

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

Fundamentals of Distributed Object Systems: The CORBA Perspective

What Is Data Science?