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Mastering QlikView

You're reading from   Mastering QlikView Let QlikView help you uncover game-changing BI data insights with this advanced QlikView guide, designed for a world that demands better Business Intelligence

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Product type Paperback
Published in Nov 2014
Publisher
ISBN-13 9781782173298
Length 422 pages
Edition 1st Edition
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Author (1):
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Stephen Redmond Stephen Redmond
Author Profile Icon Stephen Redmond
Stephen Redmond
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Toc

Table of Contents (9) Chapters Close

Preface 1. Performance Tuning and Scalability FREE CHAPTER 2. QlikView Data Modeling 3. Best Practices for Loading Data 4. Data Governance 5. Advanced Expressions 6. Advanced Scripting 7. Visualizing Data Index

Understanding why you should use an ETL approach

Hopefully, from the preceding section, you might start to see why the majority of expert QlikView developers use some kind of an ETL approach to data loading using QVDs.

There are several advantages to using an ETL approach to just load all the data directly from data sources, such as:

  • Speeding up overall data loading and reducing of load on database servers by archiving data to QVD
  • Reusing extracted data in multiple documents
  • Applying common business rules across multiple documents: one version of the truth
  • Creating conformed dimensions across multiple business processes, supporting a dimensional modeling approach
  • Provisioning a data layer that allows QlikView users to self-serve, without it being necessary to have database skills

Speeding up overall data loading

As mentioned in the previous section, it doesn't make sense to constantly load data from a database that doesn't change. It makes much more sense for the data that doesn&apos...

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