Books like Hadoop by Tom White

A concise guide to Arduino, covering hardware, electronics fundamentals, and interactive projects, helping beginners build prototypes with open-source software and inexpensive components.

A practical guide to using Git for tracking, merging, and managing software projects in both centralized and distributed environments.

A practical guide that presents key algorithms as reusable design patterns, offering ready‑to‑use code snippets in multiple languages for software developers and engineers.

Annotation

This book “Grid and Cloud Computing” is about an exploratory awareness to solve large scale scientific problems through Grid and Cloud Computing. It contributes an impression towards virtualization as fundamental concept towards cloud computing. It provides a preliminary study on Grid Computing and further briefs into a detailed study on Cloud Computing with various features like Security, Virtualization and environment setup. It provides procedural footsteps for setting up a Grid environment - Globus Toolkit, Cloud Environment – Open Nebula and Hadoop Environment in Ubuntu Linux for Grid and Cloud Computing Laboratory along with sample programs and guidelines.

In Distributed Algorithms, Nancy Lynch provides a blueprint for designing, implementing, and analyzing distributed algorithms. She directs her book at a wide audience, including students, programmers, system designers and researchers. Distributed Algorithms contains the most significant algorithms and impossibility results in the area, all in a simple automata-theoretic setting. The algorithms are proved correct, and their complexity is analyzed according to precisely defined complexity measures. The problems covered include resource allocation, communication, consensus among distributed processes, data consistency, deadlock detection, leader election, global snapshots, and many others. The material is organized according to the system model - first by the timing model and then by the interprocess communication mechanism. The material on system models is isolated in separate chapters for easy reference. The presentation is completely rigorous, yet is intuitive enough for immediate comprehension. This book familiarizes readers with important problems, algorithms, and impossibility results in the area: readers can then recognize the problems when they arise in practice, apply the algorithms to solve them, and use the impossibility results to determine whether problems are unsolvable. The book also provides readers with the basic mathematical tools for designing new algorithms and proving new impossibility results. In addition, it teaches readers how to reason carefully about distributed algorithms - to model them formally, devise precise specifications for their required behavior, prove their correctness, and evaluate their performance with realistic measures.