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A tartalmat a Software Engineering biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Software Engineering vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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🛢️ Sql Cube and Rollup

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Manage episode 358899587 series 3112408
A tartalmat a Software Engineering biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Software Engineering vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
rollup. 200 word summary for sql cube and rollup SQL (Structured Query Language) is a programming language that is commonly used to manage and manipulate data in relational databases. Two common operations that can be performed on data in SQL are cube and rollup. A SQL cube operation calculates aggregate values across multiple dimensions, producing a multi-dimensional result set. The result set includes all possible combinations of values across the specified dimensions. For example, if we have data on sales by region, product, and date, a cube operation could be used to calculate total sales by region and product for each date. This would produce a result set with three dimensions: region, product, and date. A SQL rollup operation is similar to a cube operation, but it only calculates aggregate values for a subset of the dimensions. Specifically, a rollup operation calculates aggregate values for each combination of values in a specified subset of dimensions, and then for each level of aggregation, it calculates a total for the remaining dimensions. For example, if we have data on sales by region, product, and date, a rollup operation could be used to calculate total sales by region for each date, and then a grand total for all dates. This would produce a result set with two dimensions: region and date. Both cube and rollup operations are useful for summarizing large amounts of data and analyzing it across multiple dimensions. They can be used to generate reports and visualizations that help users better understand their data and make informed decisions based on it.
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🛢️ Sql Cube and Rollup

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iconMegosztás
 
Manage episode 358899587 series 3112408
A tartalmat a Software Engineering biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Software Engineering vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
rollup. 200 word summary for sql cube and rollup SQL (Structured Query Language) is a programming language that is commonly used to manage and manipulate data in relational databases. Two common operations that can be performed on data in SQL are cube and rollup. A SQL cube operation calculates aggregate values across multiple dimensions, producing a multi-dimensional result set. The result set includes all possible combinations of values across the specified dimensions. For example, if we have data on sales by region, product, and date, a cube operation could be used to calculate total sales by region and product for each date. This would produce a result set with three dimensions: region, product, and date. A SQL rollup operation is similar to a cube operation, but it only calculates aggregate values for a subset of the dimensions. Specifically, a rollup operation calculates aggregate values for each combination of values in a specified subset of dimensions, and then for each level of aggregation, it calculates a total for the remaining dimensions. For example, if we have data on sales by region, product, and date, a rollup operation could be used to calculate total sales by region for each date, and then a grand total for all dates. This would produce a result set with two dimensions: region and date. Both cube and rollup operations are useful for summarizing large amounts of data and analyzing it across multiple dimensions. They can be used to generate reports and visualizations that help users better understand their data and make informed decisions based on it.
  continue reading

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