Microsoft Analysis Services
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| Microsoft Analysis Services | |
|---|---|
| Name | Microsoft Analysis Services |
| Developer | Microsoft |
| Released | 1998 |
| Latest release | SQL Server 2022 |
| Programming language | C++ |
| Operating system | Windows Server |
| Genre | OLAP, data mining |
| License | Proprietary |
Microsoft Analysis Services Microsoft Analysis Services is a data analytics platform from Microsoft designed to provide multidimensional and tabular data modeling, online analytical processing, and data mining capabilities for enterprise business intelligence. It integrates with Microsoft SQL Server, Power BI, Excel, and Azure services to support reporting, analytics, and decision support across organizations such as Walmart, Coca-Cola, Procter & Gamble, Bank of America, and UnitedHealth Group. The product is used alongside technologies like SQL Server Reporting Services, Power BI Service, Azure Synapse Analytics, SharePoint, and Active Directory.
Overview and Purpose
Analysis Services offers OLAP cubes and tabular models to enable fast analytical queries for scenarios common to Fortune 500 companies, Investment Banking firms, Insurance providers, Retail chains, and Healthcare systems. It aims to accelerate measures and KPIs for stakeholders in CIO offices, Data Science teams, Business Intelligence units, Enterprise Resource Planning groups, and Sales organizations. Primary uses include financial consolidation for General Electric-scale enterprises, forecasting for Procter & Gamble-like consumer goods, customer analytics used by Amazon (company), and risk analysis in institutions like JPMorgan Chase.
Architecture and Components
The architecture comprises the server engine, storage engine, formula engine, metadata, and security subsystems that interact with clients such as Microsoft Excel, Power BI Desktop, SQL Server Management Studio, Visual Studio, and browser-based front ends used by organizations like Accenture. Core components include OLAP cubes (multidimensional), tabular models (xVelocity engine), data partitions, processing tasks, calculation scripts, roles, and data sources such as SQL Server, Oracle Database, Teradata, and SAP HANA. The engine supports protocols and APIs used by OLE DB, ADOMD.NET, XMLA, and ODBC for connectivity with products from IBM, Tableau Software, SAS Institute, and MicroStrategy.
Data Models and Query Languages
Analysis Services supports multidimensional models built on dimensions, hierarchies, and measures, as well as tabular models based on columnar storage and in-memory xVelocity compression used in Power Pivot scenarios. Query languages include MDX for multidimensional cubes and DAX for tabular models; both are consumed by clients such as Excel, Power BI, SSRS, and third-party tools from QlikTech and SAP BusinessObjects. Calculation and scripting use languages and constructs found in Transact-SQL workflows, XMLA management scripts, and custom assemblies from .NET Framework projects in Visual Studio solutions.
Deployment and Administration
Administrators deploy Analysis Services on Windows Server instances within datacenters operated by providers like Equinix, Amazon Web Services, and Microsoft Azure. Management tasks are performed with SQL Server Management Studio, PowerShell modules, and deployment pipelines integrated with Azure DevOps and GitHub. Role-based and impersonation settings often map to identities from Active Directory and Azure Active Directory to meet compliance needs in organizations such as Deloitte, KPMG, Ernst & Young, and PwC.
Integration and Tooling
Analysis Services integrates with ETL, modeling, and visualization tools including SQL Server Integration Services, Azure Data Factory, Power BI Desktop, Excel Power Query, and third-party platforms like Informatica and Talend. Model design and debugging occur in Visual Studio with Analysis Services projects and extensions used by consulting firms such as Capgemini and Cognizant. Monitoring and telemetry integrate with System Center, Azure Monitor, and APM platforms from New Relic and Dynatrace.
Performance, Scalability, and Security
Performance features include in-memory xVelocity compression, aggregations, partitioning, caching, and query optimization used by large-scale deployments at companies like eBay and LinkedIn. Scalability options include scale-up on high-memory Windows Server hardware from vendors like Dell Technologies, Hewlett Packard Enterprise, and Lenovo, or scale-out via distributed partitioning and read replicas used in cloud architectures by Microsoft Azure customers. Security is enforced via role-based access, row-level security, encryption-at-rest and in-transit, and integration with Active Directory Federation Services and Azure Active Directory for single sign-on and audit requirements in regulated environments such as SEC-regulated firms and HIPAA-compliant healthcare providers.
History and Versions
Analysis Services originated as part of Microsoft's business intelligence stack in the late 1990s and evolved through versions aligned with SQL Server releases; milestones include early OLAP capabilities, the introduction of the xVelocity engine, tabular model adoption, cloud integration with Azure, and tighter integration with Power BI Service. Major releases were synchronized with product lines used by enterprises such as Windows Server rollouts and Office ecosystem updates; vendors and consultancies including Microsoft Consulting Services and partners like Accenture contributed implementation patterns and best practices.