QlikView is a leading Business Discovery Platform. It is very powerful in visually analyzing the relationships between data. It does in-memory data processing and stores the data in the report itself that it creates. It can read data from numerous sources including files and relational databases. It is used by businesses to get deeper insight by doing advanced analytics on the data they have. It even does data integration by combining data from various sources into one QlikView analysis document. Learn all the basics and advanced features of QlikView such as data modelling, reports and dashboards, visualization, object formatting, system table etc. Along the course, you will be transforming data into interactive charts and graphs using QlikView features like dashboards, system table, incremental load and object formatting.
Course Objectives:
In this course, you will learn to:
- Learn distinct Data Visualization tools and their significance for Business Intelligence
- Understand fundamental QlikView concepts and their operations
- Learn Advanced Visualization techniques to represent data from various platforms using data transformation
- Implement direct and indirect search mechanisms
- Explore the powerful QlikView features
- Explore QlikView concepts and features
- Create QVD files in QlikView Desktop
- Create visualizations and integrate them into dashboards
- Load data from tables
- Implement Chart-level and script-level functions
- Explore Security and access points
Course content
Introduction QlikView
- QlikView
- Data Warehousing
- Business Intelligence Tool
- What makes QlikView Special, on need to know basis?
- Products Overview
- Architecture Overview
- QlikView Platform Overview
- Charts: Common Types
- Collaboration of tables through SQL
- QlikView data Visualization tool explained
Data Extraction from SQL Server & Excel and Creating QVD
- Practical session of QlikView
- Creating a new Dashboard
- QVD maker, OLE DB,
- Data Extraction from SQL Server
- ODBC plug-in, Data source to SQL Server, Example of Survey DB
Data Modeling in QlikView
- How to create a data Transformation Layout
- Data Modeling, Directory, Qualify
QlikView Tables
- Data Model/Internal Table view,
- Inline Table
QlikView Loads
- Resident Load
- Incremental Load, Transform Layer
- Buffer Load
- Partial reload
QlikView Visualization
- Visualization mode
- Months functions for example
- V – Layer
- Design of themes
- Background image for ppt
- Default Theme
- DashBoard
- Employee Expense and report
Introduction to QlikView Boxes
- Listbox
- Horizontal and vertical Listbox
- Statistics box
- MultiBox
- Current selection properties
- Button properties
- Input box
- TableBox
- TableBox properties
Introduction to Viz and other Controls
- Cashflow Dashboard
- Line/Arrow
- Slider / calinder object properties
Objects
- Book mark object
- Container object
QlikView Charts
- Chart properties
- Dimensions
- Radar Chart
- Mekko chart
- Block chart
- Funnel chart
- Pie chart
- Scatter and grid chart
- Mini chart
- Gauge chart
- Straight and Pivot table
Guage
- Linear Guage in stud table
- Circular Guage
- Chart with multiple variations
QlikView PEF Report
- Creating a report in QlikView
- Button properties
If else Condition
- Scenario-based conditional calculations
- If condition, wild match
- Optimized load
Nested IF else Condition
- Nested If else condition
- Conditional colouring
- Set analysis
Mapping Load
- Apply Map
- Mapping load
- User identification
- Section access
Objects
- Object visible or invisible
- Section Access
- Different actions and triggers
- Select Excluded
- Set variables
Functions in QlikView
Scenarios in QlikView
Set Analysis
- Writing Set Analysis expressions in the chart
- Syntax structure
Task
- Top 5 and Bottom 5 Records.
- Alternate state
Section Access
- Concept of Section Access
- Why Section Access is necessary in Qlik View (QV)
- Type of Section Access
- NT NAME
- USER ID
- Demonstration of Section Access
- Document Level SA
- Sheet Level
- Data Level
Actions on Objects
- Button Object
- Text Object
Triggers
- Different Triggers
To see the full course content Download now
Course Prerequisites
- Basic SQL knowledge will better help you to understand QlikView.
Who can attend
- Business Intelligence Analysts
- Designers
- Reporting Professionals
- IT Architects
- Testing Professionals
- Software Developers
- Individuals who wish to build a career in data visualization
Number of Hours: 30hrs
Certification
Key features
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
FAQs
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- Video Tutorials
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- Materials
- Preparing for Certification
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