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0012FE5C 0012FE60 0012FE64 0012FE68 0012FE6C 0012FE70 0012FE74 0012FE78 0012FE7C 0012FE80 0012FE84 0012FE8C 0012FE94 0012FE9C 0012FEA4 0012FEAC 0012FEB4 0012FEBC 0012FEC4 0012FECC
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The effective data rate of 1 Gbps supported by the legacy IEEE 802.3ah compliant EPONs is already not considered sufficiently future proof to assure revenue growth
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Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.
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Quarter 1 earnings are $8,750. Quarter 2 earnings are $7,090. Cumulative earnings are $34,800. $34,800 $7,090 $8,750 $18,160 Quarter 3 payout $18,160
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A relational warehouse is often called a star schema, simply because of the look of the schema. In the middle sits a fact table with one or more measures. The fact table has a join back to each dimension table, which often surround the fact table in diagrams. The practice of placing the fact table at the center of the schema diagram is merely tradition, but it helps those familiar with relational warehousing quickly grasp the structure of the warehouse. In some cases a dimension table is normalized somewhat, so that a Product dimension is broken into Product, Product Category, and Product Subcategory tables. This structure is called a snowflake schema because the dimension tables branch out, much like the ice crystals of a snowflake. Figure 3-4 shows a simple star schema. In many data warehouses, there are multiple fact tables. This may be due to several factors, two of which are relatively common. First, different fact tables may contain different dimensions. A fact table that supports manufacturing will have a product dimension and an assembly line dimension. A fact table that supports sales will have a product dimension and a customer dimension. Assembly line has nothing to do with
For all the (deserved) excitement about digital cameras, they really have more in common with film cameras than they have differences. Not counting the obvious similarities of a lens, shutter button, flash attachments, and the like, both film and digital cameras are similar at their most intimate levels, where they freeze light into the makings of a photograph.
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WHERE clause column may be two different types. In this example, Balance is numeric and Day is date. Acceptable values are A for alphanumeric N for number D for date The 'object or list of values' parameter can be either the individual objects whose list of values you want to use or a list of values you enter manually in the prompt. When entering a predetermined list of values, you must enclose the values in single quotes, separated by commas, and the complete list must be enclosed by brackets. For example, suppose I wanted to restrict users to the most recent two ending balances: {'09/30/02','10/31/02'}. MONO/MULTI If users can select only one value, use MONO. If users can enter more than one value, use MULTI. Note that the SQL operator must correspond to this setting. If users can enter more than one value, use the IN operator. FREE/CONSTRAINED If users must select a value from the list of values, use CONSTRAINED. If users can either select from a list of values or enter their own value, use FREE.
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