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  • Book Overview & Buying Mastering QlikView
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Mastering QlikView

Mastering QlikView

By : Stephen Redmond
4.5 (10)
Buy this Book
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Mastering QlikView

Mastering QlikView

4.5 (10)
By: Stephen Redmond
Buy this Book

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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Preface
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Preface
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Qlik Sense
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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Downloading the example code
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1
1. Performance Tuning and Scalability
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1. Performance Tuning and Scalability
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Reviewing basic performance tuning techniques
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Generating test data
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Understanding how QlikView stores its data
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Strategies to reduce the data size and improve performance
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Testing chart performance for different load options
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Optimizing chart calculation times
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The QlikView calculation engine
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Using Direct Discovery
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Testing scalability with JMeter
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Running an example execution
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Summary
2
2. QlikView Data Modeling
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2. QlikView Data Modeling
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Reviewing basic data modeling
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Dimensional data modeling
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Handling slowly changing dimensions
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Dealing with multiple fact tables in one model
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Drilling across with document chaining
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Summary
3
3. Best Practices for Loading Data
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3. Best Practices for Loading Data
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Reviewing data loading concepts
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Understanding why you should use an ETL approach
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Using an ETL approach to create QVD data layers
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Mastering loading techniques
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Using QlikView Expressor for ETL
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Summary
4
4. Data Governance
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4. Data Governance
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Reviewing basic concepts of data governance
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Establishing descriptive metadata
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Extracting metadata
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Deploying the QlikView Governance Dashboard
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Summary
5
5. Advanced Expressions
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5. Advanced Expressions
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Reviewing basic concepts
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Understanding Dollar-sign Expansion
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Using advanced Set Analysis
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Calculating vertically
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Summary
6
6. Advanced Scripting
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6. Advanced Scripting
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Reviewing the basic concepts
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Counting records
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Loading data quickly
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Applying variables and the Dollar-sign Expansion in the script
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Using control structures
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Examining advanced Table File Wizard options
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Looking at data from different directions
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Reusing code
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Summary
7
7. Visualizing Data
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7. Visualizing Data
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Reviewing the history of data visualization
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Understanding the audience
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Designing effective visualizations
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Summary
8
Index
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Index

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 if it is...

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Mastering QlikView
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