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sales, and the customer has nothing to do with manufacturing Note that these fact tables should, however, have a conformed product dimension table joined to them Second, fact tables may be at differently levels of granularity Fact tables that contain actual data are typically at lower levels of detail, such as Day Fact tables designed to hold forecast or budget values are often at higher levels of detail, such as Month or Quarter Therefore, while both the sales and forecast fact tables contain a Time dimension, they have a different grain and therefore cannot be a single fact table One aspect of fact tables that breaks with traditional normalization techniques is that calculated fields are often included as some of the measures Typically, calculated fields are not stored in a relational table, but there is nothing wrong with storing calculated fields in a fact table In some cases this can improve performance by calculating the values ahead of time instead of requiring the cube engine to calculate the values on the fly Calculations in the cube engine will be mentioned later in this chapter

The Internet Research Task Force looks at long-term research problems The Internet Engineering Task Force (IETF) that concentrates on more immediate issues such as data transfer protocols and near-term architecture

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After designing the relational data warehouse to support the needs of the business, the next step is to identify the data sources, extract the data, transform data as needed, and then load the data into the relational warehouse This process is generically called extraction, transformation, and loading, or ETL There are many ETL tools available and while most can connect to all the common data sources, the real differences lie in their abilities to control the flow of data and provide transformations to the data Data transformation is required because data stored in disparate source systems may be stored in different formats, with different codes, or using different data types For example, one system might store a Yes as 1 and a No as 0, while another system may store the strings Y and N If data is pulled from two systems and a Yes/No field is needed, then the data must be transformed so that it is consistent in the warehouse Data consistency is one of the cornerstones of a data warehouse; all data must be in the same format for analysis to be effective Other issues arise when considering items such as currencies In a global business, there are often source systems in each country recording receivables, and normally the business systems store these receivables in the local currency If a business has branches in London, Paris, Tokyo, and New York, it s likely that data is stored in Pounds, Euros, Yen, and US Dollars In building the warehouse, sales measured in Yen cannot simply be added to sales in US Dollars in order to get non-European sales Instead, the data must be transformed by applying some form of currency conversion to the data before storing it in the warehouse Whether this is done by

IETF is the oldest group dedicated to Internet issues, having held its first meeting in 1986 At the time, the nascent Internet was still primarily a federal research activity evolving out of ARPANET, a modest network developed by the US Defense Advanced Research Projects Agency The IETF s work is divided among eight functional areas related to such issues as network management, routing, security, applications, and so on The activities of IETF and the Internet Research Task Force are coordinated by the Internet Architecture Board The board has no official role in operational matters and contributes in only a minor way to policy issues The Internet Architecture Board and two Internet task forces fall loosely under the umbrella of a fourth organization that is more formal called the Internet Society The Internet links thousands of networks and millions of users who communicate by using hundreds of different types of software They are able to do so because of Transmission Control Protocol/Internet Protocol (TCP/IP), the general procedure for accurately exchanging packets of data adopted by ARPANET in the early 1980s Other networks soon adopted TCP/IP as well, thus paving the way for the global Internet of today TCP/IP has been updated several times It continues to undergo modifications, including those designed to speed throughput, especially for long terrestrial and satellite links