Modern data warehousing and business intelligence

This one-day course offers a conceptual overview of the data warehouse.

All the characteristics and possibilities of data warehousing are treated: definitions, myth and reality, key concepts, implementation and exploitation strategies.

What does datamining mean and what are the possibilities now? Several types of products can be of use (cleaning, loading, extraction, ...). An architecture is essential, so some time will be spent on that.

Schedule

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Public training calendar

No public sessions are currently scheduled. We will be pleased to set up an on-site course or to schedule an extra public session (in case of a sufficient number of candidates). Interested? Please let us know.

Intended for

IT personnel, those persons in charge of the set-up of a warehouse, managers ...

Background

Some background on (relational) database management systems is a plus (see course SQL and relational databases fundamentals).

Main topics

  • Historical background
  • Definitions:

explanation of the key concepts (datamart, DSS, OLAP, MDBMS, ...)

  • Data warehouse infrastructure:

Back end ETT/ETL), Data Store, Front end Tools, Meta Data

  • Logical implementation:

the complete strategy: source data • transformation • loading • extraction • cleaning • maintenance metadata • datamining • ...

  • Designing a data warehouse:

no data warehouse without a well-considered datamodel: ER, Multi Dimensional Modeling, Snowflakes, Stars

Training method

Theory alternated with practical examples.

Duration

1 day.

Course leader

Kris Van Thillo.


SESSION INFO AND ENROLMENT