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What is dimension in data base?
horizontal
What is the dimension of a water closet?
How big it is inside. There is no specific size used.
What laboratory tool is used to measure dimension of an object?
meter stick is used to measure dimensional objects
What number is w?
The answer depends on the context. It is often the variable used for the fourth dimension.
What is the dimension of strain?
it has no dimension
When was Dimension Data Holdings created?
Dimension Data Holdings was created in 1983.
What is Dimension Data Holdings's population?
Dimension Data Holdings's population is 14,000.
What is dimension in data base?
horizontal
What is the meaning of normalized data in data warehouse?
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.
What are scd 's?
SCD stands for slowly changing dimensions. It is a technique in data warehousing where historical data is retained in a data warehouse to track changes to dimension data over time. This allows analysis of how dimension attributes evolve and provides insights into past states of the data.
What is single dimension in data structure?
Array, Stake, Queue.
What is the significance of VC dimension in machine learning and how does it impact the model's ability to generalize to unseen data?
The VC dimension in machine learning measures the complexity of a model's ability to fit different patterns in data. A higher VC dimension means the model can fit more complex patterns but may also be more prone to overfitting, where it performs well on training data but poorly on unseen data. Understanding the VC dimension helps in choosing a model that balances complexity and generalization to unseen data.
How do you find dimension in calculus?
Dimension is = the number of variables used in the equation
What is the mil dimension of the material used in the construction of the product?
The mil dimension refers to the thickness of the material used in the product's construction.
What are trinomials used for in a real world example?
Trinomials help model data and organize in realistic situations, such as economic marketing, forecasting weather, manufacturing and mixture and dimension problems.
What is the significance of the Slowly Changing Dimension (SCD) title in data warehousing and how does it impact data management processes?
The Slowly Changing Dimension (SCD) title in data warehousing refers to data that changes gradually over time. This is important because it helps track historical data and understand how information evolves. It impacts data management processes by requiring strategies to handle changes in data, such as updating records or creating new ones, to maintain accuracy and consistency in the database.
What schemas do you use in Multidimensional Modelling?
In Multidimensional Modelling, common schemas used are Star Schema and Snowflake Schema. Star Schema involves a central fact table connected to multiple dimension tables, while Snowflake Schema normalizes the dimension tables by further breaking them down into sub-dimension tables. These schemas help organize data hierarchically for efficient querying and analysis in multidimensional databases.
