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Mastering QlikView

Mastering QlikView

By : Stephen Redmond
4.5 (10)
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Mastering QlikView

Mastering QlikView

4.5 (10)
By: Stephen Redmond

Overview of this book

If you are a business application developer or a system analyst who has learned QlikView and Qlik Sense and now want to take your learning to a higher level, then this book is for you. It is assumed that you are aware of the fundamentals of QlikView and have working knowledge of development and in-memory analytics.
Table of Contents (9 chapters)
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8
Index

Dimensional data modeling

There are several methodologies for implementing a data warehouse or data mart that might be useful to consider when implementing QlikView in an organization. However, for me, the best approach is dimensional modeling—often called Kimball dimensional modeling—as proposed by Ralph Kimball and Margy Ross in the book The Data Warehouse Toolkit, John Wiley & Sons, now available in its third edition.

Some other methodologies, most noticeably that proposed by Bill Inmon, offer a "top-down" approach to data warehousing whereby a normalized data model is built that spans the entire enterprise, then data marts are built off this to support lines of business or specific business processes. Now, QlikView can sit very readily in this model as the data mart tool, feeding off the Enterprise Data Warehouse (EDW). However, QlikView cannot implement the normalized EDW.

In my opinion, Kimball dimensional modeling, on the other hand, is right up QlikView...

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