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OLAP立方体:赋能自助式商业智能
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OLAP立方体是Service Manager中的一项关键技术,它利用现有的数据仓库基础设施,为终端用户提供强大的自助式商业智能能力。与传统数据库不同,OLAP立方体是一种复杂的数据结构,能够快速分析海量数据,并支持多维度的数据聚合、汇总和切片。软件开发人员可以创建管理包来构建定制化的OLAP立方体,这些立方体存储在SQL Server Analysis Services (SSAS) 中,并与Excel、SQL Server Reporting Services (SSRS) 等工具集成,实现高效的多维度数据分析,有效弥补了在线事务处理(OLTP)数据库在分析方面的不足。

💡 OLAP立方体通过利用现有数据仓库,为用户提供自助式商业智能,能够快速分析海量数据,并支持多维度的数据聚合、汇总和切片,有效提升数据分析效率。

🛠️ 软件开发人员可以创建管理包来构建定制化的OLAP立方体,这些立方体存储在SQL Server Analysis Services (SSAS) 中,为Excel和SQL Server Reporting Services (SSRS) 等工具提供数据支持,实现灵活的数据探索。

📊 OLAP立方体在设计上旨在高效提取业务洞察,与专注于日常交易记录的OLTP数据库形成互补,后者虽然细节丰富但分析效率较低,OLAP立方体则是数据仓库解决方案的最终目标。

🚀 OLAP立方体,也被视为多维数据集或超立方体,是专为快速数据分析而设计的,是SSAS中实现高级数据分析的关键组成部分。

OLAP cubes in Service Manager leverage the existing data warehouse infrastructure to empower end users with self-service business intelligence capabilities.

An OLAP cube is a sophisticated data structure. It transcends the limitations of traditional relational databases by enabling swift data analysis. These cubes excel in aggregating and summarizing vast datasets, while offering searchable access to specific data points. This flexibility allows data to be rolled up, sliced, and diced, accommodating a broad spectrum of queries pertinent to the user’s interests.

Software vendors and IT developers, versed in OLAP cubes, can craft management packs. These packs enable the creation of customizable OLAP cubes built atop the data warehouse infrastructure. Stored within SQL Server Analysis Services (SSAS), these cubes become focal points for self-service business intelligence tools like Excel and SQL Server Reporting Services (SSRS). They facilitate multi-dimensional data analysis.

Contrastingly, online transaction processing (OLTP) databases are the repositories for everyday business transactions and records. While they are rich in detail, these databases aren’t inherently structured for analysis, making data retrieval a time-intensive task. OLAP databases, however, are specifically designed to extract business intelligence efficiently from these records.

OLAP cubes represent the capstone of a data warehousing solution. Envisioned as multidimensional or hypercubes, these structures in SSAS are crafted using OLAP databases for rapid data analysis. The system’s topology is depicted below.

See more on OLAP vs OLTP.

# History

Stable release: Analysis Services 2016 / December 21, 2010

# Microsoft Analysis Services Events

Date Event
1996-07-01 Microsoft opens new team to build an OLAP product, codenamed Plato (permutation of letters from OLAP)
1996-07-15 Panorama Software delegation meets with Microsoft
1996-10-27 Microsoft announces acquisition of Panorama Software development team
1998-11 OLAP Services 7.0 (codename Sphinx) ships
2000-08 Analysis Services 2000 (codename Shiloh) ships
2001-11 XML for Analysis Software Development Kit 1.0 ships
2003-04 ADOMD.NET and XML for Analysis SDK 1.1 ship
2005-10-28 Analysis Services 2005 (codename Yukon) ships
2008-08-06 Analysis Services 2008 (codename Katmai) ships
2012-03-06 Analysis Services 2012
2014-04-01 Analysis Services 2014
2016-06-01
Analysis Services 2016
From Microsoft Analysis Services - Wikipedia

Origin:
References: SAP OLAP
Created

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相关标签

OLAP 商业智能 数据仓库 SQL Server Analysis Services 自助式BI OLAP cubes Business Intelligence Data Warehouse Self-service BI
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