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Preface Corporations that achieve high customer retention and high customer profitability aim for: The right product (or service), to the right customer, at the right price, at the right time, through the right channel, to satisfy the customer's need or desire. Information Technology—in the form of sophisticated databases fed by electronic commerce, point-of-sale devices, ATMs, and other customer touch points—is changing the roles of marketing and managing customers. Information and knowledge bases abound and are being leveraged to drive new profitability and manage changing relationships with customers. The creation of knowledge bases, sometimes called data warehouses or Info-Structures...
The new edition of the classic bestseller that launched thedata warehousing industry covers new approaches and technologies,many of which have been pioneered by Inmon himself In addition to explaining the fundamentals of data warehousesystems, the book covers new topics such as methods for handlingunstructured data in a data warehouse and storing data acrossmultiple storage media Discusses the pros and cons of relational versusmultidimensional design and how to measure return on investment inplanning data warehouse projects Covers advanced topics, including data monitoring andtesting Although the book includes an extra 100 pages worth of valuablecontent, the price has actually been reduced from $65 to $55
This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the quality of any type of data modeling effort?" In contrast to the first two volumes, this new volume focuses on the fundamental, underlying patterns that affect over 50 percent of most data modeling efforts. These patterns can be used to considerably reduce modeling time and cost, to jump-start data modeling efforts, as standards and guidelines to increase data model consistency and quality, and as an objective source against which an enterprise can evaluate data models.
As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product. While it may be easy to plan for a data warehouse that incorporates all the right concepts, taking the steps needed to create a warehouse that is as functional and user-friendly as it is theoreti
From the author of We Are the Ants comes “another winner” (Booklist, starred review) about a boy who believes the universe is slowly shrinking as the things he remembers are being erased from others’ memories. Tommy and Ozzie have been best friends since the second grade, and boyfriends since eighth. They spent countless days dreaming of escaping their small town—and then Tommy vanished. More accurately, he ceased to exist, erased from the minds and memories of everyone who knew him. Everyone except Ozzie. Ozzie doesn’t know how to navigate life without Tommy, and soon he suspects that something else is going on: that the universe is shrinking. When Ozzie is paired up with the reclusive and secretive Calvin for a physics project, it’s hard for him to deny the feelings developing between them, even if he still loves Tommy. But Ozzie knows there isn’t much time left to find Tommy—that once the door closes, it can’t be opened again. And he’s determined to keep it open as long as possible.
Pulling aside the curtain of ‘Big Data’ buzz, this book introduces C-suite and other non-technical senior leaders to the essentials of obtaining and maintaining accurate, reliable data, especially for decision-making purposes. Bad data begets bad decisions, and an understanding of data fundamentals — how data is generated, organized, stored, evaluated, and maintained — has never been more important when solving problems such as the pandemic-related supply chain crisis. This book addresses the data-related challenges that businesses face, answering questions such as: What are the characteristics of high-quality data? How do you get from bad data to good data? What procedures and practices ensure high-quality data? How do you know whether your data supports the decisions you need to make? This clear and valuable resource will appeal to C-suite executives and top-line managers across industries, as well as business analysts at all career stages and data analytics students.
Provides an overview to the exam's topics, including a "Need toKnow" list that identifies areas that must be understoodin-depth. Includes exercises that can be performed, usually with a smalltest BW server. Contains practice test questions that assess the readersknowledge of the current exam topics. Serves as a complement to the classroom training provided bySAP.
This book constitutes the refereed proceedings of the 6th International Conference on Applied Parallel Computing, PARA 2002, held in Espoo, Finland, in June 2002. The 50 revised full papers presented together with nine keynote lectures were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on data mining and knowledge discovery, parallel program development, practical experience in parallel computing, computer science, numerical algorithms with hierarchical memory optimization, numerical methods and algorithms, cluster computing, grid and network technologies, and physics and applications.
Robotics: Science and Systems VIII spans a wide spectrum of robotics, bringing together contributions from researchers working on the mathematical foundations of robotics, robotics applications, and analysis of robotics systems.