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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

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Counting records

There are two main functions used to count records during load: RecNo() and RowNo(). After the data has been loaded, we can use another couple of interesting functions: FieldValueCount() and NoOfRows(). There is also a useful function, NoOfFields(), that tells us how many columns there are in a table.

RecNo

The RecNo() function gives us the number of the rows in the source table. While the output of the RecNo function will always be guaranteed to be ordered, there might be gaps in the sequence because rows may be excluded due to a where clause, for example, this load statement:

Table1:
Load *, RecNo() As RecNo1
Where Field1<>'C';
Load * Inline [
Field1
A
B
C
D
];

Only three rows will be loaded from the source because the row with C as a value is excluded by the Where clause. This results in this table:

Field1	RecNo1
A	1
B	2
D	4

The value 3 is missing in the sequence as the third row was not loaded.

It should also be noted that an additional load from a new source, even...

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