Sign In Start Free Trial

Book Overview & Buying
Table Of Contents
Feedback & Rating

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

4.5 (10)

5 star

70%

4 star

10%

3 star

20%

2 star

0

1 star

0

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...

Search

Your notes and bookmarks