- The Course Overview
- Data Consistency
- Design Challenges of Data Modeling
- The Master Calendar
Online
₹ 799
Quick facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
QlikView is a Business Intelligence tool that transforms raw data into knowledge. It excels at visually analysing the connections between data sets. This software functions similarly to the human brain, which is based on "association," and it can search for answers in any direction. QlikView provides capabilities for ad hoc queries and facilitates quick decisions based on easily accessible data. It performs data processing in memory and stores the data within the report. It can also read data from a variety of sources, such as files and relational databases. Advanced QlikView 12 for Developers certification is made available by Udemy to candidates who want to learn how to make a point set analysis used in time reporting and to perform complex calculations.
Advanced QlikView 12 for Developers online training contains 3.5 hours of video, One downloadable resource, and a digital certificate once the course has been completed.
Advanced QlikView 12 for Developers online classes consist of data consistency, data transformation, advanced expressions, set analysis, advanced data transformations, visual design, user experience, and security.
The highlights
- Full Lifetime Access
- 3.5 Hours of Video
- One Downloadable Resources
- Access on Mobile and TV
- Certificate of Completion
Program offerings
- Online course
- Learning resources
- 30-day money-back guarantee
- Unlimited access
Course and certificate fees
Fees information
certificate availability
certificate providing authority
What you will learn
Advanced QlikView 12 for Developers certification course, the aspirant will be able to learn several methods and best practices for transforming data in QlikView by using scripts, as well as how to use the built-in aggregation tools in QlikView to do complicated calculations. The candidate will acquire the knowledge necessary to construct point-in-time reporting, accomplish difficult computations through the use of set analysis, and design a user interface that is both consistent and interactive. The participant will guarantee that their QlikView apps and data are protected, as well as optimise the QlikView data model and design a data architecture that allows scalable QlikView deployments. In addition, the participant will ensure that their QlikView data model is optimised.
The syllabus
Data Modeling Best Practices
Basic Data Transformation
- Cleansing a Dirty table
- Loading a Crosstable
- Expanding a Hierarchy
- Generic Load
Advanced Expressions
- Using Variables
- Using Total Qualifier
- The Aggr Function
- Conditional Functions
Set Analysis and Point In Time Reporting
- The Magic of Set Analysis
- Point in Time Reporting
- Comparative Analysis with Alternate States
Advanced Data Transformations
- Loading Data Already Stored in QlikView
- Aggregating Data
- Sorting Tables
- Merging Forces
- Dealing with Slowly Changing Dimensions
- Incremental Loads
More on Visual Design and User Experience
- Creating a Consistent QlikView UI
- Additional Interactivity
Security
- Hidden Script
- Section Access
- Restricting the Data
- Document-Level and Sheet-Level Security