Any
of these can be run on-site, customised to your database,
and/or tailored to cover only those learning modules of
specific interest to you.
- Data Warehouse Challenge Day ~ 1 Day
- Dimensional Modelling for the Data Warehouse ~
3 Days
- Advanced BusinessObjects® Design ~ 2 Days
- Dimensional Modelling integrated with BusinessObjects®
~ 5 Days
- Data Quality
Data
Warehouse Challenge Day ~ 1 Day
Senior Executives and Project Managers involved in sponsoring
or managing a Data Warehouse project.
Dimensional
Modelling for the Data Warehouse ~ 3 Days
IT professionals who will be involved in the design,
build or maintenance of a data mart or data warehouse,
and need to understand the techniques involved in its
design.
Prerequisites: A basic understanding of relational database
concepts such as joins, tables, primary keys, foreign
keys, attributes and lookup tables.
Advanced
BusinessObjects® Design ~ 2 Days
Specifically for people who have designed a BusinessObjects®
universe for an on-line transaction processing (OLTP)
database and want to learn how to enhance the design
in terms of effectiveness and performance.
Prerequisites: A thorough understanding
of relational databases and client-server concepts.
Must be SQL-literate and familiar with report creation
and analysis from a user perspective using either BusinessObjects®
or WebIntelligence®. Must be able to build Universes
in an OLTP environment
Dimensional
Modeling integrated with BusinessObjects® ~ 5 Days
IT professionals who will be involved in the design,
build or maintenance of a data mart or Data Warehouse,
using BusinessObjects® as the front-end query and
reporting tool, and who need to understand the techniques
involved in the design. Business Benefits
Prerequisites: A basic understanding of` relational
database concepts such as joins, tables, primary keys,
foreign keys, attributes and lookup tables. Good experience
of the BusinessObjects® Designer module, as gained
on the Universe Design course followed by some weeks
practical use in the working environment.
Data
Quality
Business and IT staff who will be involved in any project
where a consolidated view of data is required, such
as data integration, migration or warehousing where
Data Quality is key.
Prerequisites: A basic awareness
of Relational Database concepts such as tables, attributes,
joins, primary keys, and foreign keys.
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