For introduction to OLAP techniques and Microsoft Analysis Services we recommend courses 2791 or 6234.
At the end of the course, students will be able to define the term OLAP and its role within data warehousing, design multidimensional data marts by using star and snowflake schemas, recognize the fundamental components of a cube, understand the architecture of Analysis Services, create dimensions from relational dimension tables, understand the many types of dimensions, utilize various dimension properties and settings, design OLAP dimensions based upon underlying source data, create cubes by using the Cube Wizard and Cube Editor, create and manipulate measures, develop and understand virtual cubes, design cube storage and aggregations, update dimensions and cubes when source data changes, optimize the processing of dimensions and cubes, create partitions within cubes, implement simple calculations by using MDX and calculated members, use Microsoft Excel 2000 as an OLAP front-end application, understand how data mining fits within OLAP and the Microsoft data warehousing framework, employ actions, drill-through, and write-back for data analysis, design and implement cube and dimension security, automate the processing of dimensions and cubes through Data Transformation Services (DTS), and create cubes and virtual cubes based upon end-user requirements OLAP Solutions are integral to Microsoft SQL Server Business Intelligence Tools.
Ultimately, the burden is on the ISV developers to ensure that their applications are capable of sustaining in the many customer environments, including those where health monitoring is not something that the end customers can be good at.
The ISV applications which use the Business Activity Monitoring (BAM) capability provided by Biz Talk Server need to appreciate the many additional components which play part in the BAM infrastructure.
To allow cross-domain requests to the OLAP service, enable the CORS behavior of your server.
Analysis Services was introduced by Microsoft in 2000 and resulted in significant performance gains when extracting information from data warehouses using multi-dimensional analytical queries.If nothing else, this chapter can give you an appreciation for the sophistication and elegance of the Analysis Services server design.In Chapter 11, “Retrieving Data from Analysis Services.” you learned how to use client tools and MDX queries to get data out of Analysis Services and into a Pivot Table dynamic view or other report.If you changed default options in the Confirm changes page, the system might not be able to successfully build and deploy the Analysis Services project” Or you may want to update KPI’s and add/change calculations, these need to be done in BIDS.How do you make this change and then save the definitions back to AX?