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DW 2.0: The Architecture for the Next Generation of Data Warehousing is the first book on the new generation of data warehouse architecture, DW 2.0, by the father of the data warehouse. The book describes the future of data warehousing that is technologically possible today, at both an architectural level and technology level. The perspective of the book is from the top down: looking at the overall architecture and then delving into the issues underlying the components. This allows people who are building or using a data warehouse to see what lies ahead and determine what new technology to buy, how to plan extensions to the data warehouse, what can be salvaged from the current system, and ho...
"This 10-volume compilation of authoritative, research-based articles contributed by thousands of researchers and experts from all over the world emphasized modern issues and the presentation of potential opportunities, prospective solutions, and future directions in the field of information science and technology"--Provided by publisher.
Ian Botham arrived on the international scene just in time to ride sport's first big financial wave and exploit the Thatcherite mantra of go-out-and-get-what-you-want. He certainly needed the cash, having been regularly short since leaving state school in Yeovil at 15. In an era short on glamour and personalities, Botham brought an irresistible cocktail of talent, energy and swagger. With the stench of economic failure still in the air, he made the country feel good about itself again. He showed that Britain could still produce champions and that the working class still deserved to be valued. For this he won himself a fund of public goodwill, a fund he sometimes threatened to drain but uncan...
Data warehouse is one of the components of the overall business intelligence system. An enterprise has one data warehouse, and data marts source has their information from the data warehouse. The Data warehouse is a corporation of all data marts within the enterprise. Information is always accumulated in the dimensional model. In this paper, an intelligent data repository with soft computing is presented. It covers similarity metrics that are commonly used to improve the efficiency of data storages. It also covers multiple decision making methodologies to improve the efficiency of decision making.
Good data is a source of myriad opportunities, while bad data is a tremendous burden. Companies that manage their data effectively are able to achieve a competitive advantage in the marketplace, while bad data, like cancer, can weaken and kill an organization. In this comprehensive book, Rupa Mahanti provides guidance on the different aspects of data quality with the aim to be able to improve data quality. Specifically, the book addresses: Causes of bad data quality, bad data quality impacts, and importance of data quality to justify the case for data quality Butterfly effect of data quality A detailed description of data quality dimensions and their measurement Data quality strategy approac...
InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
SOCIOLOGY: FAMILY & RELATIONSHIPS. NO MORE GAMES. IT'S TIME FOR THE TRUTH. Neil Strauss made a name for himself advocating freedom, sex and opportunity as the author of The Game. Then he met the woman who forced him to question everything. Neil's search for answers took him from Viagra-laden free-love orgies to sex addiction clinics, from cutting-edge science labs to modern-day harems, and, most terrifying of all, to his own mother. What he discovered changed everything he knew about love, sex, relationships and, ultimately, himself. The Truth may have the same effect on you.
The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration. The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approac...