QlikSense Data Architect Masterclass
QlikSense Data Architect Masterclass, available at $199.99, has an average rating of 4.47, with 99 lectures, 12 quizzes, based on 1912 reviews, and has 7126 subscribers.
You will learn about Create a data model in QlikSense Create and maintain data connections Develop and debug QlikSense script Cleanse and transform source data Resolve data model issues Optimization for performance Create and use Qlik Data Files (QVD) files Manage security with Section Access This course is ideal for individuals who are Beginner QlikSense developers interested in mastering scripting to build a data model or QlikView developers who are interested in mastering scripting in QlikSense It is particularly useful for Beginner QlikSense developers interested in mastering scripting to build a data model or QlikView developers who are interested in mastering scripting in QlikSense.
Enroll now: QlikSense Data Architect Masterclass
Summary
Title: QlikSense Data Architect Masterclass
Price: $199.99
Average Rating: 4.47
Number of Lectures: 99
Number of Quizzes: 12
Number of Published Lectures: 97
Number of Published Quizzes: 12
Number of Curriculum Items: 111
Number of Published Curriculum Objects: 109
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Create a data model in QlikSense
- Create and maintain data connections
- Develop and debug QlikSense script
- Cleanse and transform source data
- Resolve data model issues
- Optimization for performance
- Create and use Qlik Data Files (QVD) files
- Manage security with Section Access
Who Should Attend
- Beginner QlikSense developers interested in mastering scripting to build a data model
- QlikView developers who are interested in mastering scripting in QlikSense
Target Audiences
- Beginner QlikSense developers interested in mastering scripting to build a data model
- QlikView developers who are interested in mastering scripting in QlikSense
Welcome to QlikSese Data Architect Masterclass. In this course, you will master skill to develop associative data models in Qlik Sense from scratch.
In this brand new QlikSense masterclass, you will learn step-by-step to cleanse, transform, and unify data from multiple disparate sources using June 2018 release version and its features.
You will build optimized associative data model using powerful ETL scripting and learn how to deal with complex data integration challenges.
Throughout the course, with hands-on examples and challenges, you will master QlikSense developer skill to build a data model which business analysts can use to build insight driven, self service applications for your enterprise.
QlikSense data architect masterclass topics include: data connections, cleansing and transforming source data, resolving data model issues, optimization for performance, using QlikView Data Files (QVD) files and data model security.
This course is designed so that anyone can learn how to develop data models in Qlik Sense!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Course Curriculum Overview
Lecture 3: The Course Approach
Chapter 2: Qlik Sense Introduction
Lecture 1: Qlik Sense Tour
Lecture 2: Qlik Sense Architecture
Chapter 3: Environment Setup
Lecture 1: The Qlik Sense Desktop Installation
Lecture 2: Unlock Qlik Sense Desktop – Part I
Lecture 3: Unlock Qlik Sense Desktop – Part II
Lecture 4: Course Folder Structure
Chapter 4: Introduction to Qlik Sense Scripting
Lecture 1: Data Load Editor
Lecture 2: Connect, Extract, Load
Lecture 3: Load Fact Tables
Lecture 4: Challenge – Load Fact Table
Lecture 5: Solution – Load Fact Table
Lecture 6: Basic Transformations
Lecture 7: Challenge – Basic Transformations
Lecture 8: Solution – Basic Transformations
Lecture 9: Script Debugging
Chapter 5: Synthetic Keys
Lecture 1: Synthetic Keys Basics
Lecture 2: Loading Dimension Tables
Lecture 3: Challenge – Synthetic Key
Lecture 4: Solution – Synthetic Key
Lecture 5: Data Model Viewer
Chapter 6: Adding Flat Files
Lecture 1: Load Excel Files
Lecture 2: Challenge – Load Suppliers Table
Lecture 3: Solution – Load Suppliers Table
Lecture 4: Challenge – Qualify Statement
Lecture 5: Solution – Qualify Statement
Lecture 6: Variables
Lecture 7: Challenge – Variables
Lecture 8: Solution – Variables
Lecture 9: Include Files
Lecture 10: Challenge – Include Files
Lecture 11: Solution – Include Files
Chapter 7: Dealing with Data Model Challenges – Part I
Lecture 1: Using Record Counters
Lecture 2: Challenge – Record Counters
Lecture 3: Solution – Record Counters
Lecture 4: WHERE Clause
Lecture 5: Resident Load
Lecture 6: WHERE EXISTS Clause
Lecture 7: Challenge – WHERE EXISTS
Lecture 8: Solution – WHERE EXISTS
Chapter 8: Master Calendar
Lecture 1: Master Calendar Fundamentals
Lecture 2: FieldValue Function and Flags
Lecture 3: Create a Master Calendar
Chapter 9: Mapping Tables
Lecture 1: Mapping Load Fundamentals
Lecture 2: Add Mapping Tables
Lecture 3: Challenge – Mapping Table
Lecture 4: Solution – Mapping Table
Lecture 5: Challenge – Preceding Load
Lecture 6: Solution – Preceding Load
Chapter 10: Data Model Optimization
Lecture 1: Joins Deep Dive
Lecture 2: Challenge – Join tables
Lecture 3: Solution – Join tables
Lecture 4: Concatenation
Lecture 5: Implicit and Forced Concatenation
Lecture 6: Challenge – Concatenate
Lecture 7: Solution – Concatenate
Lecture 8: Consolidate Fact Tables
Chapter 11: Dealing with Data Model Challenges – Part II
Lecture 1: Circular Reference
Lecture 2: Cross table
Lecture 3: Add Cross table
Lecture 4: Link table
Lecture 5: Create a Link Table
Lecture 6: Class function
Lecture 7: Solution – Class Function
Lecture 8: Interval Match
Chapter 12: All about QVD Files
Lecture 1: QVD Fundamentals
Lecture 2: Creating QVD Files
Lecture 3: Optimized QVD Load
Chapter 13: Set Analysis
Lecture 1: Set Analysis Fundamentals
Lecture 2: Create a Chart with Set Expression
Lecture 3: Challenge – Set Modifier
Lecture 4: Solution – Set Modifier
Lecture 5: Aggr()
Lecture 6: Challenge – Set Analysis with Aggr()
Lecture 7: Solution – Set Analysis with Aggr()
Lecture 8: FirstSortedValue Function
Instructors
-
Vertechs .IO
Teach..Learn..Inspire -
Shilpan Patel
Qlik Luminary 2018-2020 -
Deepak Vadithala (DV)
Qlik Luminary 2014 and 2017
Rating Distribution
- 1 stars: 18 votes
- 2 stars: 23 votes
- 3 stars: 210 votes
- 4 stars: 816 votes
- 5 stars: 845 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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