Download presentation
Presentation is loading. Please wait.
Published byMyles Cook Modified over 9 years ago
1
Understanding Analysis Services Architecture
2
Microsoft Data Warehousing Overview OLTP Source DTS DW Storage Analysis Services Clients OLE DB for OLAP, ADO MD DTS
3
Data Transformation Services Transforming and Moving Data Scheduling DTS Tasks Automating OLAP Administrative Tasks OLTP Source DTS DW Storage Analysis Services Clients DTS
4
Data Warehouse Storage Not Limited to SQL Server 2000 SQL Server 6.5, SQL Server 7.0, Microsoft Access 97, Microsoft Access 2000, Oracle 7.3, Oracle 8.0 Any ODBC / OLE DB provider OLTP Source DTS DW Storage Analysis Services Clients DTS
5
Analysis Services OLTP Source DTS DW Storage Analysis Services Clients DTS
6
OLTP Source DTS DW Storage Analysis Services Clients DTS Client Interfaces Client Interfaces APIs: Low level: OLE DB for OLAP and OLE DB for Data Mining High level: ADO-MD
7
OLTP Source DTS DW Storage Analysis Services Clients DTS Client Interfaces Client Applications Office Third-Party Applications Custom Applications
8
OLEDB for OLAP OLEDB for DM MOLAPStore Application ADO MD PivotTable Service Analysis Manager DSO SQL Server DataWarehouse Other OLE DB Providers Analysis Services Architecture Analysis Server OLAP Engine DM Engine
9
Analysis Manager Application for Database Administration Snap-In to MMC Decision Support Objects Analysis Server DSO Analysis Manager Custom Administration Interface
10
Analysis Server Characteristics OLE DB for OLAP Provider OLE DB Provider Windows 2000 and Windows NT Service
11
Metadata Repository Contains All Metadata for Analysis Server By Default, an Access Database msmdrep.mdb Can Migrate Repository to SQL Server SQL Server 7.0 OLAP Services format SQL Server 2000 Meta Data Services repository format
12
Analysis Server Limits ItemsLimits Databases per serverUnlimited Cubes per databaseUnlimited Cubes per virtual cube64 Dimensions per cube128 Measures per cube1,024 Calculated members per cube65,535 Levels per dimension64 Partitions per cubeUnlimited
13
PivotTable Service Is Required in Order to Query Server Is the Desktop OLAP Component—Subset of Analysis Server Ships with Office Provides: Intelligent data and query caching Multidimensional formula engine Ability to create local cubes
14
OLAP Server Client (Excel 2000, Third-Party Applications) Offline Cube File ADO-MD / OLEDB for OLAP PivotTable Service PTS Architecture
15
1) January, February, March 2000 Sales Query 1) January, February, and March 2000 SalesClient Server 2) Quarter 1 2000 Sales 3) Quarter 1 1999 Sales 1) January, February, March 2000 Sales 3) Quarter 1 1999 Sales Query 2) Quarter 1 2000 Sales Query 3) Quarter 1 2000 Sales and Quarter 1 1999 Sales Client Calculates Only Quarter 1 1999 Needed From Server Intelligent Caching
16
Multidimensional Expressions Used as the Syntax for Modeling and Querying an OLAP Database Supported by PTS Part of the OLE DB for OLAP API Used to Create Calculated Members Key to Advanced Analytical Capabilities of Analysis Services
17
Extensible Markup Language for Analysis - XMLA XML/A is a Data Access Protocol Extending BI to Microsoft.NET Platform Supports Exchange of Analytical Data Between Clients and Servers Available on Any Device or Platform Using Any Programming Language www.xmla.org
18
Office OLAP Components Excel PivotTables Local Cubes Web Pivot Control
19
Internet Support on Clients Uses IIS to Provide Authentication Over the Internet Uses HTTP to Pass Through Firewalls Supports Automatic Setup through ASP Requires SQL Server 2000 Enterprise Edition
20
Data Mining in Analysis Services Data Mining Is The Process of Deducing Meaningful Patterns and Rules from Large Quantities of Data Searches for Patterns in Data Rather than Answering Predefined Questions Is Used To: Provide historical insights Predict future values or outcomes Close the loop for analysis
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.