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Learning Qlik Sense® The Official Guide Second Edition
Table of Contents
Learning Qlik Sense® The Official Guide Second Edition
Credits
About the Authors
Acknowledgments
About the Reviewer
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Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Reviewing the example applications
Errata
Piracy
Questions
1. Qlik Sense® and Data Discovery
Continuing disruption
Qlik Sense® and the QlikView.Next project
Making sense of modern business
What is data discovery?
The empowered user
Interaction with data
Traditional business intelligence architecture
The Qlik® way
Color coding
Freedom of data navigation
Calculation on demand
Data discovery—the evolution of BI
Summary
2. Overview of a Qlik Sense® Application's Life Cycle
Overview of an application's life cycle
Starting application authoring
What makes up a Qlik Sense® application?
Sharing an application
Continuing the application's life cycle
Summary
3. Empowering Next Generation Data Discovery Consumers
Data discovery consumption requirements
Introducing the hub
Introducing streams
Exploring the components of the application
Sheets
Bookmarks
Data storytelling
Navigating and leveraging the associative experience
Navigation
Smart visualizations
Global search
Global filtering
Extending with Library
Summary
4. Contributing to Data Discovery
Realities of the data discovery contributor
Creating private bookmarks
Creating and sharing private sheets
Creating a private sheet
Publishing a private sheet
Creating a new sheet
Adding a predefined visualization to a new sheet
Creating a Combo chart object
Publishing a private sheet
Creating and sharing stories
Defining a story
Creating snapshots
Adding text
Adding shapes
Media library
Publishing your story
Summary
5. Authoring Engaging Applications
Preparations and requirements
The requirement specifications
The communication problem
A step-wise implementation
The process
Getting started with the app creation
Creating a new app
Loading your data
Loading additional tables
Using the Data load editor
Creating a database connection
Data connectors
The analysis interface—sheets and visualizations
Creating a sheet
Adding visualizations
Adding dimensions and measures
Defining bar charts
Storytelling
The application library
Which fields should be exposed?
Defining KPIs
Creating library entries
Best practices in data visualization
Dashboard
Analysis
Reporting
Structuring a sheet
Graphs and other visualizations
Dimensions and measures
The bar chart
The pie chart
The line chart
The KPI object
The gauge
The scatter chart
The tree map
The geographical map
Tables
Sorting and colors
Migrating applications from QlikView® to Qlik Sense®
Changes to the script
Changes to the user interface
Publishing your apps
Summary
6. Building Qlik Sense® Data Models
The QIX engine
The Qlik Sense® data model
Creating a multitable data model
Linking tables
Structuring your data
Normalization
Star schema and snowflake schema
Pitfalls in the data model
The data model viewer
Using preview mode
Summary
7. Qlik Sense® Apps in the Cloud
Why use the cloud?
Cloud sharing
Cloud content
Using Qlik Sense® apps in the cloud
Uploading an app from the desktop
Creating an app in Qlik Sense® Cloud
Sharing an app in Qlik Sense® Cloud
Maintaining Qlik Sense® Cloud apps
Using the Qlik DataMarket® content
Adding the QlikMarket® data
Summary
8. Extending the Qlik® Analytic Platform
Qlik® Dev Hub
Web mashups
Extending the Qlik Sense® client
Engine API Explorer
Developer community – Qlik Branch
Summary
9. Administering Qlik Sense®
The Qlik Sense® architecture
Services
Clients
Applications
Nodes
Streams
Deployment and licensing
Single node or multinode
License and access passes
Tokens
Access rules
Management and monitoring
Importing and managing apps
Importing extensions
Users and user directories
Defining streams
Connectivity management
Tasks
System management
Security rules
Monitoring
Security
Authentication and authorization
Content security
Summary
10. Sales Discovery
The business problem
Application features
Who are our top customers?
The 360-degree customer view
Filtering customers
Reviewing shipments for top customers
Reviewing the bottom five customers
Who are our most productive sales representatives?
Analyzing products
Analyzing customer sales
Building the application
The SalesDetails table
The Customers table
The AggSales table
US States ISO CODE 2 polygons
Analyzing the Sales Discovery Library
Dimensions
Measures
Visualizations
Summary
11. Human Resource Discovery
The business problem
Application features
Sheets
Training costs
Using the global selector
How the application was developed
Dimensions
Summary
12. Travel Expense Discovery
The business problem
Application features
Tracking expenses
Analyzing expenses overspent
Digging deeper into the data
Creating an analysis story for travel expenses
Creating an overview
Sharing our analysis
Finishing the story
Developing the application
Examining the key tables
Expenses
PerDiemRates
Airfare
Department
Budget
LinkTable
Dimensions
Measures
Visualizations
Summary
13. Demographic Data Discovery
Problem analysis
Application features
Analysis
Using the lasso selector to make selections
Using the global selector to make selections
How the application was developed
Dimensions
Measures
Summary
Index
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