olap in data warehouse

DiscoveryData Mining principlesData Mining: Concepts, models, methods, and AlgorithmsData Mining: Chinese version of concepts and technologiesData Mining Introduction [original]Han jiayuan's Data Mining: Concepts and technologiesData Mining ebookDoctoral thesis on Data Mining knowledgeIBM data mining documentationMulti-dimensional analysis and

that? First of all, from the project manager's point of view, the Data Warehouse implementation process at any one stage is enough to make people physically and mentally tired. From the development of physical storage devices to the realization of extract-transform-load, from the design and development model to the OLAP, all phases are obviously more difficult t

of physical storage devices to the implementation of extract-transform-load, from the design and development model to OLAP, all stages are obviously more difficult than previous projects. Each stage requires not only new processing methods, new management methods, but also innovative ideas. Therefore, assigning management responsibilities to other project managers will not only cause damage to the project, but also help. 3. communicate with usersTh

of Extract-Transform-Load, from the design and development model to OLAP, all stages are obviously more difficult than previous projects. Each stage requires not only new processing methods, new management methods, but also innovative ideas. Therefore, assigning management responsibilities to other project managers will not only cause damage to the project, but also help. 　　3. communicate with users The content here is much more important than the a

Tags: ash t-SQL query _id important SSD round mode for copy tableWindows Azure Platform Family of articles Catalog　　In the previous article, I introduced the basic content of the MPP architectureIn this chapter, I introduce you to the architecture of Azure SQL Data Warehouse (SQL DW).　　　The 1.SQL DW is divided into head node and work node, denoted by control node and compute node　　SQL DW uses multiple work

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 cons

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 ZT: A brief explanation of common nouns in data Warehouse Data Warehouse in the middle of the 80 's, Mr. William H.inmon, the "Father of the warehouse", defined the concept of data