Business intelligence developers who want in-depth understanding and
expert skill levels with OLAP will find that the book takes them
significantly beyond product documentation and a wizard-based exposure
to the technology. The book puts the reader on a learning path
beginning with a definition and explanation of the benefits of OLAP,
and ending with a comparison of multidimensional analysis techniques to
other the analytical approaches used in business intelligence
applications: data mining and statistics. On this path the reader
learns the syntax and programming techniques, and discovers the
information analysis principles that motivate its use.
The content of the book is based on the Oracle 10g database, however,
most of the programming statements shown will work with other editions
of the database, such as Oracle 9i and 11g, and even earlier editions
of the technology found in stand-alone products such as the Express
database, Oracle Financial Analyzer, and Oracle Sales Analyzer. So if
you are developing business intelligence systems in Oracle or porting
from one of these platforms this book gives you helpful information you
will use to get the job done.
The analysis principles presented are universal and can be applied to
any OLAP system, for example Essbase, Cognos, Business Objects, and
Microsoft Analysis Services. So whether you are new to business
intelligence or a seasoned practitioner, you should find The
Multi-dimensional Data Modeling Toolkit with plenty of valuable
insights to offer. e book is available on Amazon directly from the
publisher's website at
http://www.learn-Oracle-OLAP.com .