lookup table in data warehouse

About star schema In the construction of the Data Warehouse, the star pattern shown in the following illustration is almost the most commonly used. It is called star mode because the E-R graphic in the pattern is like a star (it feels strange to say). NBSP as shown in the figure, the center is a large fact table with some dimension tables around it. The f

server|sqlserver| data The construction and analysis of SQL Server Data Warehouse (i) Basic concepts: 1. Cubes: Cubes are the primary object in online analytical processing (OLAP) and are a technology that allows fast access to data in a data

Basic concepts: 1. Multi-dimensional dataset: a multi-dimensional dataset is the main object in Online Analytical Processing (OLAP) and a technology that allows quick access to data in a data warehouse. A multi-dimensional dataset is a collection of data. It is usually constructed from a subset of a

in the fact table, so we cannot build a new dimension-product dimension, but also build a product-themed fact table.Therefore, before building a multidimensional model, we will generally be based on the requirements of the detailed design of the model, which should be included in the measurement of the size of the data should be kept to what granularity to meet the needs of users.The multidimensional model

considered from the point of view of the formation of the Data Warehouse) Δ Multi-tiered Data warehouse (data warehouse and data supermarket synthesis, the lower

changing the space for time is only a standard of the recommended nature, in actual implementation, the Data Warehouse hierarchy should be determined based on the actual situation. Different types of data may also adopt different layering methods. --- [Supplement] Data Cache layer: The database layer used to sto

design is intended to introduce redundancy and adopt an anti-paradigm design. A database is designed to capture data. A data warehouse is designed to analyze data. Its two basic elements are dimension tables and fact tables. Dimensions are the definitions of these things, such as time, department, and dimension tables

The partition view joins the horizontal partition data from a group of Members to make the data look like it is from the same table. SQL Server 2000 distinguishes the local partition view from the distributed partition view. In the local partition view, all related tables and views reside on the same instance of SQL Server. In the distributed partition view, at l

Backup compression Star Association performance faster parallel query on partitioned tables grouping SETS Resource Monitor Data compression alignment partitioned indexed view Integration Services Lookup Performance Pipeline Performance Analysis Services Backup MDX query performance: Block compute query and write back perform

Label:MySQL Multidimensional Data Warehouse GuideFirst PrinciplesChapter List :Chapter 1: Basic CompositionChapter 2: History of DimensionsChapter 3: Dimensions of additiveChapter 4: Dimension QueriesThis article outlinesYou will use a relational database to implement a dimensional data warehouse. The fact and dimensio

experts. 3. Physical Model Design During Physical Model Design, the logic model of the Data Warehouse is mainly converted into the physical table structure in the database. ERWin and other auxiliary design tools can be used in physical model design. Informix adopts the ROLAP mode, and data

this growth trend, the storage efficiency issue is currently the most important concern in our data warehouse infrastructure and in the future. We have many innovations in improving the storage efficiency of data warehouses, for example, the establishment of a cold data storage da