QlikView 11 for Developers

This book is smartly built around a practical case study – HighCloud Airlines – to help you gain an in-depth understanding of how to build applications for Business Intelligence using QlikView. A superb hands-on guide.

QlikView 11 for Developers

Starting
Miguel García, Barry Harmsen

This book is smartly built around a practical case study – HighCloud Airlines – to help you gain an in-depth understanding of how to build applications for Business Intelligence using QlikView. A superb hands-on guide.
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Book Details

ISBN 139781849686068
Paperback534 pages

About This Book

  • Learn to build applications for Business Intelligence while following a practical case -- HighCloud Airlines. Each chapter develops parts of the application and it evolves throughout the book along with your own QlikView skills.
  • The code bundle for each chapter can be accessed on your local machine without having to purchase a QlikView license.
  • The hands-on approach allows you to build a QlikView application that integrates real data from several different sources and presents it in dashboards, analyses and reports.

Who This Book Is For

If you are a developer who is looking to learn a fast and easy way to learn to develop your business intelligence apps with QlikView, then this book is for you. If you are a power-user in a QlikView environment, then you will find quicker ways of working with QlikView.

You should know the basics of business intelligence before you pick up this book.

This book covers QlikView Desktop Personal Edition. Deployments to QlikView Server/Publisher are out of scope for this book.

Table of Contents

Chapter 1: Meet QlikView
What is QlikView?
Exploring data with QlikView
The technology and components behind QlikView
Meet HighCloud Airlines
Summary
Chapter 2: Seeing is Believing
What is a SiB?
Preparing the workspace
Creating the app
Summary
Chapter 3: Data Sources
Using ODBC and OLE DB drivers
Accessing custom data sources
Reading table files
Extracting data—two hands-on examples
QVD and QVX files
Loading an Inline table
Summary
Chapter 4: Data Modeling
Dimensional data modeling
The associative data model
The Table Viewer window
Summary
Chapter 5: Styling Up
Design requirements
The Document Properties window
The Sheet Properties dialog
Setting the object properties
Working with listboxes
The Multi Box
The Current Selections Box
Adding a Bookmark Object
Aligning and resizing sheet objects
Creating and applying a default color map
Summary
Chapter 6: Building Dashboards
User types
Applying the DAR principle to Airline Operations
Creating the Analysis sheet
Creating the new Dashboard sheet
Creating the Reports sheet
Other charts
Summary
Chapter 7: Scripting
The Script Editor
Script statements
Conditional functions
Dealing with different data types
Debugging script
Standardizing and organizing script
Re-using scripts
Managing file locations and connection strings
Summary
Chapter 8: Data Modeling Best Practices
Data consistency
Reducing storage requirements
Design challenges of data modeling
The master calendar
A final note on data modeling
Summary
Chapter 9: Basic Data Transformation
Changing the source table structure
Summary
Chapter 10: Advanced Expressions
Using variables
Using the TOTAL qualifier
The Aggr function
Conditional functions
A tip on copying expressions
Summary
Chapter 11: Set Analysis and Point In Time Reporting
The magic of Set Analysis
Point In Time Reporting
Comparative analysis with alternate states
Always validate
Summary
Chapter 12: Advanced Data Transformation
Data architecture
Loading data already stored in QlikView
Aggregating data
Sorting tables
The Peek function
Merging forces
Dealing with slowly changing dimensions
Ordering, peeking, and matching all at once
Incremental loads
Summary
Chapter 13: More on Visual Design and User Experience
Creating a consistent QlikView UI
Additional interactivity
Summary
Chapter 14: Security
Hidden script
Section access
Document-level security
Sheet-level security
Summary

What You Will Learn

  • Learn the techniques and best practices to transform data in QlikView via script
  • Loading data from disparate sources to build an associative Data Model
  • Building robust data models and overcoming common modeling challenges
  • Designing data visualization objects to present performance measures with charts and tables
  • Learn to use dimensions and expressions in QlikView objects
  • Utilise QlikView’s built-in aggregation functions to achieve complex calculations
  • Creating Point In Time reporting and achieving complex calculations using Set Analysis
  • Creating a consistent and interactive user interface
  • Ensuring your QlikView applications and data are protected
  • Constructing a data architecture that supports scalable QlikView deployments
  • Learn time-saving techniques for making your QlikView development more efficient

In Detail

Business Intelligence technologies are a must-have in every business to make informed decisions and keep up-to speed with the ever-evolving markets. QlikView’s disruptive technology makes it a key player and leader in the industry; with its flexibility and powerful analytics environment, building QlikView apps can be mastered by both, business users as well as developers.

This book will help you learn QlikView Development from a basic to a practitioner level using a step-by-step approach in a practical environment, and apply proven best practices on each topic.

Throughout the book, we will build a QlikView app based on real data about Airline Operations that will help "HighCloud Airlines" make informed business decisions and analysis-guided strategies. HighCloud Airlines executives are evaluating if entering the US market is a good strategy and, if so, which line of business should they focus their investments on; they need QlikView to make the best decision.

The application will be evolving chapter by chapter, along with your skills, going from a simple proof of concept to creating a Data Model, adding a custom style, building a Dashboard and handling and manipulating the source data via script. We will meet the "HighCloud Airlines" requirement by using many different data visualization objects and time-saving techniques.

The whole application uses real data taken from the Bureau of Transportations statistics of the US and encompasses the operations of Airlines both domestic and international. With three years worth of data, you will help HighCloud Airlines discover where people travel the most, which are the Carriers with the most market share, what is the average load factor per airline, which aircraft is the most used to perform flights, which are the busiest airports, and a whole universe of new insights.

Authors

Table of Contents

Chapter 1: Meet QlikView
What is QlikView?
Exploring data with QlikView
The technology and components behind QlikView
Meet HighCloud Airlines
Summary
Chapter 2: Seeing is Believing
What is a SiB?
Preparing the workspace
Creating the app
Summary
Chapter 3: Data Sources
Using ODBC and OLE DB drivers
Accessing custom data sources
Reading table files
Extracting data—two hands-on examples
QVD and QVX files
Loading an Inline table
Summary
Chapter 4: Data Modeling
Dimensional data modeling
The associative data model
The Table Viewer window
Summary
Chapter 5: Styling Up
Design requirements
The Document Properties window
The Sheet Properties dialog
Setting the object properties
Working with listboxes
The Multi Box
The Current Selections Box
Adding a Bookmark Object
Aligning and resizing sheet objects
Creating and applying a default color map
Summary
Chapter 6: Building Dashboards
User types
Applying the DAR principle to Airline Operations
Creating the Analysis sheet
Creating the new Dashboard sheet
Creating the Reports sheet
Other charts
Summary
Chapter 7: Scripting
The Script Editor
Script statements
Conditional functions
Dealing with different data types
Debugging script
Standardizing and organizing script
Re-using scripts
Managing file locations and connection strings
Summary
Chapter 8: Data Modeling Best Practices
Data consistency
Reducing storage requirements
Design challenges of data modeling
The master calendar
A final note on data modeling
Summary
Chapter 9: Basic Data Transformation
Changing the source table structure
Summary
Chapter 10: Advanced Expressions
Using variables
Using the TOTAL qualifier
The Aggr function
Conditional functions
A tip on copying expressions
Summary
Chapter 11: Set Analysis and Point In Time Reporting
The magic of Set Analysis
Point In Time Reporting
Comparative analysis with alternate states
Always validate
Summary
Chapter 12: Advanced Data Transformation
Data architecture
Loading data already stored in QlikView
Aggregating data
Sorting tables
The Peek function
Merging forces
Dealing with slowly changing dimensions
Ordering, peeking, and matching all at once
Incremental loads
Summary
Chapter 13: More on Visual Design and User Experience
Creating a consistent QlikView UI
Additional interactivity
Summary
Chapter 14: Security
Hidden script
Section access
Document-level security
Sheet-level security
Summary

Book Details

ISBN 139781849686068
Paperback534 pages
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