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Tables come in various sizes and types. A kitchen or dining table can be as small as 2 feet by 4 feet and the size increases from there. End tables are around 2 feet. Work tables can be small or large, with various dimensions. Folding tables come in various lengths, including 4 feet and 6 feet. The size of tables vary with their use and what the person's needs are.

Q: What is the dimension of a table?

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The total number of rows and columns in a table is called the size or dimensions of the table.

Conventionally length is the longer dimension.

to minimize storage requirement,dimension attribute r usually short identifiers that r foreign keys in2 other table called dimension table. Placid04 muzaffarpur,bihar,26 march ,2012

to minimize storage requirement,dimension attribute r usually short identifiers that r foreign keys in2 other table called dimension table. Placid04 muzaffarpur,bihar,26 march ,2012

2.74 m long × 1.525 m wide × 0.76 m high

If the table is more than 3m in its longest dimension, then no; for example if the table is 1m wide by 5.5m long then the tablecloth will not fit onto it and cover it (without being cut).If the table is more than 2m in its shortest dimension, then no; for example is the table is square, it will be approx 2.345m along each side and the tablecloth will not fit onto it and cover it (without being cut).However, if the longest dimension of the table is less than or equal to 3m and the shortest dimension is less than or equal to 2m, then it will fit since the area of the tablecloth is 2m x 3m = 6m2 and the table has a smaller area of 5.5m2.

Data warehouses are designed for quick access to large amounts of historical data. Read operations dominate over write operations. Under these conditions, normalization takes a back seat to performance optimization. A different design methodology, called dimensional design is used when planning a data warehouse. There are two common categories of schemas used in data warehousing: star schemas and snow flake schemas. A star schema has a central fact table, surrounded by dimension tables. The fact table contains columns called measures, which are aggregated in queries. The fact table is related to the dimension tables. The dimension tables may have levels, which are implemented as columns. For example, a dimension table named Location may contain columns for Continent, Country, StateProvince and City. This dimension table is not normalized. If you normalize the dimension tables, then each level is placed in its own table. Normalizing the dimension tables results in a snow flake schema.

Table dimension is 59"x35"x29" please calculate volumetric weight in KG Table dimension is 59"x35"x29" please calculate volumetric weight in KG {| |- | Volumetric WeightVolumetric WeightVolumetric Weight * Volumetric Weight|}