Ralph Kimball

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the data warehouse toolkit practical techniques for building dimensional data warehouses What to say and what to do when mostly your friends love reading? Are you the one that don't have such hobby? So, it's important for you to start having that hobby. You know, reading is not the force. We're sure that reading will lead you to join in better concept of(More)
But there is the vital element of data warehousing methodology that makes DWs valuable for analysts and managers and connects the essence of businessphenomena with corresponding IT-solutions. This backbone of all data warehouses is a multidimensional data model. The problem of dimensional modeling usually remains beyond the scope of references, textbooks(More)
In April 1981 Xerox announced the 8010 Star Information System, a new personal computer designed for office professionals who create, analyze, and distribute information. The Star user interface differs from that of other office computer systems by its emphasis on graphics, its adherence to a metaphor of a physical office, and its rigorous application of a(More)
For Zvi Griliches, my thesis advisor. His willingness to accept me as a student may have kept me from a life as an accountant. A ccountants are rarely portrayed as heroic innovators. Yet in banking over the past 10 years, cost or management accountants have played such a role. Management accounting is dedicated to collecting and analyzing internal data so(More)
Economist, Federal Reserve Bank of Boston, and Associate Professor of Finance, Olin Graduate School of Business, Babson College. The author wishes to thank Richard Kopcke, John Jordan, and Eric Rosengren for helpful comments. The opinions expressed are those of the author and not necessarily those of the Federal Reserve Bank of Boston or the Federal Reserve(More)
D iversification is certainly the simplest and perhaps the oldest approach to managing the trade-off between portfolio risk and return. Unless the returns on the assets in the portfolio are perfectly positively correlated, the risk of a diversified portfolio will be less than the weighted average of the risks of the individual assets. Because(More)
Because the truth is that relational database management systems aren’t very good at what they were supposed to do-help us get answers from our data-unless we ignore a good deal of relational dogma and use a new approach to data modeling when we’re building a decision support database. The relationally correct data modeling everyone is taught in school is(More)
R isk management has received increasing attention in recent years, both from academics and from practitioners. The number of academic articles indexed in the Journal of Economic Literature containing the key word " risk " in the subject description increased from 545 per year in 1988 to 859 in 1998, and the membership of the Global Association of Risk(More)
Simple analysis of all the data trumps sophisticated analysis of some of the data. 23 Executive Summary In this white paper, we describe the rapidly evolving landscape for designing an enterprise data warehouse (EDW) to support business analytics in the era of "big data. " We describe the scope and challenges of building and evolving a very stable and(More)