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Kurs informasjon: Essentials for IBM Cognos BI: Supplement for Metadata Modelers (10.1) - ILO

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  • Forkunnskaper
  • Mål
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Kurskode I5105NO Leveringsform Instructor Led - Online Training
(Hands-on labs)
Varighet 2.0 dager Kurstype
Listepris NOK 11 000,00 u. moms
NOK 11 000,00 m. moms
   

NOTE: This is a live, instructor-led online course. Do not make arrangements to travel.

IBM Cognos Education is now pleased to offer you our courses in an exciting new learning format, Instructor-led Online (ILO). Students are offered a similar experience to live classroom training, with the convenience of having it delivered directly to their desktop.

Essentials for IBM Cognos BI: Supplement for Metadata Modelers (V10.1) is an advanced, 2 day, instructor-led online course. It is designed to provide participants with introductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis results using Framework Manager. Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing of metadata to the Web, enabling end users to easily author reports and analyze data.

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Roadmaps:

  • IBM Cognos BI 10.1 - Developer Role

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Målgruppe

This advanced course is for developers and data modelers.

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Forkunnskaper

You should complete:

  • Essentials for IBM Cognos BI (V10.1) (B5170)

You should have:

  • knowledge of common industry standard data structures and design
  • experience with SQL
  • experience gathering requirements and analyzing data

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Mål

Please refer to Course Overview for description information.

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Nøkkelemner

Create Analysis Objects

  • apply dimensional information to relational metadata to enable OLAP-style queries
  • sort members for presentation and predictability

Manage MUNs in Framework Manager

  • describe model types and data entities
  • define members and member unique names
  • identify changes that impact a MUN

Model for Drill Through in Framework Manager

  • describe model types and data entities
  • define members and member unique names
  • identify changes that impact a MUN

Advanced Generated SQL Concepts and Complex Queries

  • governors that affect SQL generation
  • stitch query SQL
  • conformed and non-conformed dimensions in generated SQL
  • multi-fact/multi-grain stitch query SQL
  • variances in Report Studio generated SQL
  • dimensionally modeled relational SQL generation
  • cross join SQL
  • various results sets for multi-fact queries

Administer the IBM Cognos BI Server Environment

  • Overview of administrative tasks that can be performed in IBM Cognos Administration
  • Monitor system metrics
  • Manage dispatchers and services
  • Tune server performance
  • Audit IBM Cognos BI
  • Identify issues while troubleshooting the server environment
  • Formulate the IBM Cognos BI backup strategy

Model Maintenance and Extensibility

  • perform basic maintenance and management on a model
  • remap metadata to another source
  • import and link a second data source
  • run scripts to automate or update a model
  • view lineage
  • create a model report

Optimize and Tune Framework Manager Models

  • identify and implement techniques to optimize and tune your Framework Manager models

Work in a Multi-Modeler Environment

  • implement repository control
  • segment and link a project
  • branch a project and merge results

Manage OLAP Data Sources

  • connect to an OLAP data source (cube) in a Framework Manager project
  • publish an OLAP model
  • publish a model with multiple OLAP data sources
  • publish a model with an OLAP data source and a relational data source

Manage Framework Manager Packages

  • specify package languages and function sets
  • control model versioning
  • nest packages

Employ Additional Framework Manager Modeling Techniques

  • leverage a user defined function
  • set the order of operations in a model calculation
  • externalize query subjects
  • prepare IBM Cognos content for use as a data source in Transformer
  • create query sets

Model Multilingual Metadata

  • customize metadata for a multilingual audience

Modeling for Time Period Analysis

  • customize metadata for a multilingual audience

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