What is an OLAP cube and the drill features in it?
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Rob Conery discusses some OLAP drillthrough procedures in his SQL server blog...\nhttp://www.wekeroad.com/blogs/CategoryView,category,OLAP.aspx
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This site will give you that information and more.\n\nhttp://www.livescience.com/technology/050407_earth_drill.html
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datamining\nnetworking\ndatabasing
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A storage unit that is organized by a specific name on a computer
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In normal 3-D space, a cube can be described by {(x,y,z) where 0<=x<=1, 0<=y<=1, 0<=z<=1}\n\nIn normal 4-D space, it's {(x,y,z,w) where 0<=x<=1, 0<=y<=1, 0<=z<=1, 0<=w<=1}\n\nIn n-space, an n-cube can be represented by all n-dimentional vectors where the nth coordinate lies in the closed interval [0, 1].
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You can\n\n1) Make it into an indexed file with 400 records, each record having a two-level table with 40/199 indexes;\n\n1b) Indexed file, but one-level, with (400*40*199) records;\n\n2) Create 400 internal tables with 40/199 indexes;\n\n3) Go to a data base;\n\nI'd try 1B first.
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A data warehouse is a logical collection of information gathered from many different operational databases used to create business intelligence that supports business analysis activities and decision-making tasks, primarily, a record of an enterprise's past transactional and operational information, stored in a database designed to favour efficient data analysis and reporting (especially OLAP). Generally, data warehousing is not meant for current "live" data, although 'virtual' or 'point-to-point' data warehouses can access operational data. A 'real' data warehouse is generally prefered to a virtual DW because stored data has been validated and is set up to provide reliable results to common types of queries used in a business.\n\nA data warehouse is created by analyzing ways to categorize data using dimensions and ways to summarize data using measures. Dimensions can be used to filter data by excluding results or by displaying data in different cells of a presentation. Measures are used to create averages and totals using precomputed aggregates.
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http://en.wikipedia.org/wiki/Data_model
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8. One for each corner of the cube. Think about how many corners are on a die or a box. Each of these is a point.
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It is an ETL tool.  It is most often used by customers who have already purchased the Cognos BI tools and want to move data into information database such as data warehouses, datamarts or decision support databases.  There is some metadata sharing between the Cognos ETL and BI tools that can make implementation easier.  You could just as easily populate a Cognos BI database using any other ETL tool.
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Cuboid is a 3D rectangle\n\nExamples in home are:\nComputer midi towers\nwardrobes\nNew fashion coffee tables\nMicrowaves\nOven\nFridge\netc..\n\nAnything that is a cube is also a cuboid as a cube is a special cuboid where all the sides are equal
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a) cube...final answer
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The idea is to build up the corners, you want to get a 2x2x2 corner lined up and then work from there.\n\nHere's a very helpful link\nhttp://lar5.com/cube/
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cubed = power of 3\n\ny cubed = y raised to 3 or y^3 = y x y x y\n\n2 cubed = 2 ^ 3 = 2 x 2 x 2 = 8
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go to encarta.msn.com and search for keys mass/solid structure, surface Structure
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At a mimimum it should have the following:\n\n. Barcoding \n. Bill of Materials\n. ERP/ Capacity planning\n. Reporting\n. Production planning\n. Shop floor Management\n\nFor more details, check out this article Manufacturing Solutions for Microsoft Great Plains at http://www.wareprise.com/articles/manufacturing-solutions-for-microsoft-great-plains.php
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2 cubes have 16 corners (since each cube has 8 corners)\n\na cylinder doesn't have any corners