Data cubesData warehouseBusiness decision makingView materializationDynamic view selectionMultimedia Tools and Applications - The main contribution of this paper is to materialize right cubes according to the users' priority at the right time which can significantly reduce delays......
The DHSC can also incrementally update without being recreated while new dimension data are being added in it. As a result, this algorithm can greatly reduce the update time. We have compared the algorithms of DHSC with the other existent ones such as space-efficient dynamic data cube by more...
Finally, it is important to note that at this point in time we do NOT support manual processing of the cubes via AS or BIDS. Processing of cubes outside of methods provided by SCSM 2012 (UI or cmdlets) will not update the watermark tables and thus it is possible ...
PivotCube is the newest OLAP elaboration of PivotWare Lab. This is a unique technology created for projecting, creation, and maintenance of “data warehouses” analytical systems. PivotCube Technology is one of best realizations of OLAP (On-Line Analytical Processing) approach to multidimensional dat...
Staging :An intermediary state of source data that act as an input to the datawarehouse where in data is loaded by the ETL logic using integration services from the source data. It is more or less the source data in its original form with those tables getting discarded that might not be ...
http://.jos/1000-9825/14/1258.htm Abstract: Range query is a very important operation to support On-Line Analytical Processing (OLAP) in data warehouses. Although several cube storage structures for range sum queries and dynamic updates have been introduced recently. However, the complexities of...
Data Analysis Expressions (DAX) APIfor Power BI:This new integration enables users to connect natively from Power BI to Cube and query Cube data models in real-time using the DAX API. This architecture enables direct access to live data in cloud data warehouses, such as Databricks and Snowfl...
Data ETL and Consolidation system A system used to consolidate different data sources into one database (data warehouse or big data) after data mapping and business rules configuration. The solution requires BanKCube™ data servic ...read more DocCap™ Document Capturing and Archiving system A...
学习目录一、基本概念二、核心框架三、数仓大数据架构详解(流程) 一、基本概念数据仓库(Data Warehouse)是一个为数据分析而设计的企业级数据管理系统。数据仓库可集中、整合多个信息源的大量数据,借助数据仓库的分析能力,为企业指定决策,帮助企业改进业务流程、提高产品数量一般数仓分为离线数仓(spark)和实时数仓(flink)二...
Research on the Compression Method and CUBE Computation of Multidimensional Data in Datawarehouse; 数据仓库中多维数据压缩与CUBE计算研究 2. Study on Processing Method of Multi-beam Sounding Data Based on CUBE Algorithm 利用CUBE算法处理多波束测深数据研究 3. Bounding Cube:A Localization Scheme for ...