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Mastering QlikView

By : Stephen Redmond

4.5 (10)

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.

Preface

Preface

Qlik Sense

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Free Chapter

1. Performance Tuning and Scalability

1. Performance Tuning and Scalability

Reviewing basic performance tuning techniques

Generating test data

Understanding how QlikView stores its data

Strategies to reduce the data size and improve performance

Testing chart performance for different load options

Optimizing chart calculation times

The QlikView calculation engine

Using Direct Discovery

Testing scalability with JMeter

Running an example execution

Summary

2. QlikView Data Modeling

2. QlikView Data Modeling

Reviewing basic data modeling

Dimensional data modeling

Handling slowly changing dimensions

Dealing with multiple fact tables in one model

Drilling across with document chaining

Summary

3. Best Practices for Loading Data

3. Best Practices for Loading Data

Reviewing data loading concepts

Understanding why you should use an ETL approach

Using an ETL approach to create QVD data layers

Mastering loading techniques

Using QlikView Expressor for ETL

Summary

4. Data Governance

4. Data Governance

Reviewing basic concepts of data governance

Establishing descriptive metadata

Extracting metadata

Deploying the QlikView Governance Dashboard

Summary

5. Advanced Expressions

5. Advanced Expressions

Reviewing basic concepts

Understanding Dollar-sign Expansion

Using advanced Set Analysis

Calculating vertically

Summary

6. Advanced Scripting

6. Advanced Scripting

Reviewing the basic concepts

Counting records

Loading data quickly

Applying variables and the Dollar-sign Expansion in the script

Using control structures

Examining advanced Table File Wizard options

Looking at data from different directions

Reusing code

Summary

7. Visualizing Data

7. Visualizing Data

Reviewing the history of data visualization

Understanding the audience

Designing effective visualizations

Summary

Index

Index

Customer Reviews

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Understanding the audience

To deliver effective data visualizations, we need to understand our audience: human beings.

Understanding the audience

There are some rules that we need to know when dealing with humans. These are based on sound psychological studies, and therefore, aren't always true! They are good guidelines that apply to the majority of the population, but we really need to know that you can't please all of the people all of the time.

Matching patterns

One of the things that humans really excel at is recognizing things that they have seen before or look similar to things that they have seen before and associating those things with other similar things that they have experienced before. As we tend to share a lot of cultural experiences, many of us will share the same generalizations. For example, you might have seen this in your Facebook or e-mail in the recent past:

"Olny srmat poelpe can raed tihs.
I cdnuolt blveiee taht I cluod aulaclty uesdnatnrd waht I was rdanieg. The phaonmneal pweor...

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