|Designing a Business IntelligenceInfrastructure by Using Microsoft SQL Server 2005|
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|70-446 and 4000+ Exams
PRO: Designing a Business Intelligence Infrastructure by Using Microsoft SQL Server 2005
Credit toward certification
When you pass this exam, you earn credit toward the following certification:
MCITP: Business Intelligence Developer
This Training will Cover
Planning BI Solutions
Select appropriate BI technologies.
Specify the appropriate SQL Server edition.
Design dimensional models.
Design dimensions for each subject area.
Design fact tables for each subject area.
Design a physical schema based on a logical design.
Identify current dimensions that can be reused.
Identify elements that must be added to existing dimensions or fact tables.
Design new physical objects based on a logical model.
Design indexing, partitioning, and key structures for the relational database.
Design an indexing strategy.
Design a surrogate key strategy.
Identify appropriate business keys.
Design a partitioning strategy.
Designing SSIS Solutions
Design the extract process.
Identify design constraints.
Identify changed data in the source system.
Decide the strategy for decoding textual values.
Design the load process.
Decide whether to implement fast load.
Design appropriate destination components to handle new and updated records during incremental loads.
Design the transformation process.
Identify appropriate transformations and transformation options.
Design data flow.
Design the control flow process.
Identify appropriate control flow items.
Design the control flow sequence.
Design logging and event handling.
Identify appropriate uses and placement of event handlers.
Identify appropriate uses and placement of checkpoints.
Identify appropriate uses of logging.
Identify appropriate uses of data flow error handling.
Designing SSRS Solutions
Acquire report data.
Select appropriate uses of shared data sources.
Select appropriate uses of stored procedures or user-defined functions.
Design security for SSRS.
Define appropriate security roles.
Specify folder security.
Specify field-level security.
Choose an SSRS report creation strategy.
Select appropriate uses of Report Designer.
Select appropriate uses of Report Definition Language (RDL).
Select appropriate uses of Report Builder.
Select appropriate report components.
Decide appropriate uses of datasets.
Decide appropriate uses of subreports.
Decide the appropriate placement of extensive business logic.
Design report execution modes to support business requirements.
Identify appropriate uses of report snapshots.
Identify appropriate uses of on-demand reports.
Identify appropriate uses of on-demand-from-cache reports.
Design a report subscription strategy.
Identify appropriate uses of standard subscriptions.
Identify appropriate uses of data-driven subscriptions.
Identify appropriate report-delivery methods for subscriptions.
Design a strategy to maintain SSRS objects on the report server.
Identify appropriate uses of the Reporting Services Web Service library.
Identify appropriate uses of the Reporting Services Configuration tool.
Designing SSAS Solutions
Design the data source view (DSV).
Select appropriate uses of named queries.
Select appropriate uses of named calculations.
Select appropriate uses of denormalization strategies.
Modify the SSAS dimensions.
Identify appropriate uses of attribute relationships.
Identify appropriate uses of column binding to support a user-defined reporting hierarchy.
Select a design for implementing a ragged hierarchy.
Select an appropriate strategy to implement member properties.
Modify the SSAS cube.
Identify appropriate uses of calculated members.
Identify appropriate uses of actions.
Identify appropriate uses of key performance indicators (KPIs).
Identify appropriate uses of perspectives.
Identify appropriate uses of translations.
Identify appropriate uses of drillthrough.
Design relationships between dimensions and measure groups.
Identify a relationship type.
Identify appropriate uses of role-playing dimensions.
Choose an appropriate strategy to handle unknown dimension members.
Design security for SSAS.
Define appropriate security roles.
Design dimension security.
Design cell security by using Multidimensional Expressions (MDX).
Maintaining and Optimizing SSAS Solutions
Select an appropriate aggregation strategy.
Maintain SSAS solutions by using either online or offline methods.
Ensure that the SSAS solutions are refreshed with the most recent data.
Design a partitioning strategy for optimal data availability.
Decide whether proactive caching is an appropriate solution.
Select appropriate processing methods for SSAS objects.
Select appropriate storage settings.
Design partition storage settings.
Select a dimension storage mode.
Designing Data Mining Solutions
Identify applicability of data mining to a business need.
Design the data structure to support mining.
Design a data mining model.
Identify appropriate algorithms to meet requirements.
Classify data as input, key, predict, and ignore.
Select data mining delivery methods.
Select appropriate uses of SSRS Data Mining Extensions (DMX) queries.
Select appropriate uses of ActiveX Data Objects (Multidimensional) (ADOMD).
Select appropriate uses of SSIS Data Mining Query tasks.
Select appropriate uses of data mining viewer controls for Microsoft .NET Framework-based applications.
Select a processing method for data mining objects.
Select appropriate uses of processing.
Select appropriate uses of structure processing.
Select appropriate uses of default processing.
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