Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy "A unique and authoritative book that blends recent research developments with industry-level practices for researchers, students, and industry practitioners." Il-Yeol Song, Professor, College of Information Science and Technology, Drexel University

A cutting-edge response to Ralph Kimball's challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousing Written by one of the best-known exponents of the Bill Inmon approach to data warehousing Addresses head-on the tough issues raised by Kimball and explains how to choose the be...(展开全部)

C++ is a mature multi-paradigm programming language that enables you to write high-level code with a high degree of control over the hardware. Today, significant parts of software infrastructure, including databases, browsers, multimedia frameworks, and GUI toolkits, are written in C++.This book starts by introducing C++ data structures and how to store data using linked lists, arrays, stacks, and queues. In later chapters, the book explains the basic algorithm design paradigms, such as the greedy approach and the divide-and-conquer approach, which are used to solve a large variety of computational problems. Finally, you will learn the advanced technique of dynamic programming to develop optimized implementations of several algorithms discussed in the book.By the end of this book, you will have learned how to implement standard data structures and algorithms in efficient and scalable C++ 14 code.

A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and softwar...(展开全部)

In Functional Design, renowned software engineer Robert C. Martin ("Uncle Bob") explains how and why to use functional programming to build better systems for real customers. Martin compares conventional object-oriented coding structures in Java to those enabled by functional languages, identifies the best roles for each, and shows how to build better systems by judiciously usi...(展开全部)

This newly revised book was first published in 1965. Elements of image and form are analysed and examined with regard to their inherent laws. The lessons of methodical design are used today in computer monitor design as well. The desktop publishing technique requires very clear conceptual and methodical working processes. This book, which is divided into computer-system-friendl...(展开全部)

作者简介： Simon King 卡内基梅隆大学设计中心总监，该中心是卡内基梅隆大学设计研究与教育的一个跨学科基地。他曾担任IDEO芝加哥分公司的设计总监和业务负责人，领导该工作室的交互设计工作。他在IDEO工作了8年，工作涉及各种媒介及受众，包括医疗成像设备、车辆人机界面平台、个人健康应用程序、财务规划工具，以及Web、手机、电视以及其他联网设备的用户体验。Simon在卡内基梅隆大学取得了交互设计硕士学位，在西密歇根大学取得了平面设计专业美术学士学位。 Kuen Chang IDEO的设计总监，负责芝加哥分公司的工业设计。他对组建优秀的团队并设计代表品牌内涵的产品和体验有极大的热情。他认为，产品形式应当追随产品用途，这样才能体现产品功能，获得情感共鸣，全面展现品牌意图。

The ultimate guide to cryptography, updated from an author team of the world's top cryptography experts. Cryptography is vital to keeping information safe, in an era when the formula to do so becomes more and more challenging. Written by a team of world-renowned cryptography experts, this essential guide is the definitive introduction to all major areas of cryptography: message...(展开全部)

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contribution...(展开全部)

Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your data Key Features Learn practical data science combined with data theory to gain maximum insights from data Discover methods for deploying actionable machine learning pipelines while mitigating biases in data and models Explore actionable case studies to put your new skills to use immediately Purchase of the print or