QlikSense Data Architect Masterclass
What you’ll 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
Requirements
Qlik Sense Desktop tool
Basics of SQL
Description
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!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Course Curriculum Overview
Lecture 3 The Course Approach
Section 2: Qlik Sense Introduction
Lecture 4 Qlik Sense Tour
Lecture 5 Qlik Sense Architecture
Section 3: Environment Setup
Lecture 6 The Qlik Sense Desktop Installation
Lecture 7 Unlock Qlik Sense Desktop – Part I
Lecture 8 Unlock Qlik Sense Desktop – Part II
Lecture 9 Course Folder Structure
Section 4: Introduction to Qlik Sense Scripting
Lecture 10 Data Load Editor
Lecture 11 Connect, Extract, Load
Lecture 12 Load Fact Tables
Lecture 13 Challenge – Load Fact Table
Lecture 14 Solution – Load Fact Table
Lecture 15 Basic Transformations
Lecture 16 Challenge – Basic Transformations
Lecture 17 Solution – Basic Transformations
Lecture 18 Script Debugging
Section 5: Synthetic Keys
Lecture 19 Synthetic Keys Basics
Lecture 20 Loading Dimension Tables
Lecture 21 Challenge – Synthetic Key
Lecture 22 Solution – Synthetic Key
Lecture 23 Data Model Viewer
Section 6: Adding Flat Files
Lecture 24 Load Excel Files
Lecture 25 Challenge – Load Suppliers Table
Lecture 26 Solution – Load Suppliers Table
Lecture 27 Challenge – Qualify Statement
Lecture 28 Solution – Qualify Statement
Lecture 29 Variables
Lecture 30 Challenge – Variables
Lecture 31 Solution – Variables
Lecture 32 Include Files
Lecture 33 Challenge – Include Files
Lecture 34 Solution – Include Files
Section 7: Dealing with Data Model Challenges – Part I
Lecture 35 Using Record Counters
Lecture 36 Challenge – Record Counters
Lecture 37 Solution – Record Counters
Lecture 38 WHERE Clause
Lecture 39 Resident Load
Lecture 40 WHERE EXISTS Clause
Lecture 41 Challenge – WHERE EXISTS
Lecture 42 Solution – WHERE EXISTS
Section 8: Master Calendar
Lecture 43 Master Calendar Fundamentals
Lecture 44 FieldValue Function and Flags
Lecture 45 Create a Master Calendar
Section 9: Mapping Tables
Lecture 46 Mapping Load Fundamentals
Lecture 47 Add Mapping Tables
Lecture 48 Challenge – Mapping Table
Lecture 49 Solution – Mapping Table
Lecture 50 Challenge – Preceding Load
Lecture 51 Solution – Preceding Load
Section 10: Data Model Optimization
Lecture 52 Joins Deep Dive
Lecture 53 Challenge – Join tables
Lecture 54 Solution – Join tables
Lecture 55 Concatenation
Lecture 56 Implicit and Forced Concatenation
Lecture 57 Challenge – Concatenate
Lecture 58 Solution – Concatenate
Lecture 59 Consolidate Fact Tables
Section 11: Dealing with Data Model Challenges – Part II
Lecture 60 Circular Reference
Lecture 61 Cross table
Lecture 62 Add Cross table
Lecture 63 Link table
Lecture 64 Create a Link Table
Lecture 65 Class function
Lecture 66 Solution – Class Function
Lecture 67 Interval Match
Section 12: All about QVD Files
Lecture 68 QVD Fundamentals
Lecture 69 Creating QVD Files
Lecture 70 Optimized QVD Load
Section 13: Set Analysis
Lecture 71 Set Analysis Fundamentals
Lecture 72 Create a Chart with Set Expression
Lecture 73 Challenge – Set Modifier
Lecture 74 Solution – Set Modifier
Lecture 75 Aggr()
Lecture 76 Challenge – Set Analysis with Aggr()
Lecture 77 Solution – Set Analysis with Aggr()
Lecture 78 FirstSortedValue Function
Lecture 79 Challenge – FirstSortedValue
Lecture 80 Solution – FirstSortedValue
Section 14: Section Access
Lecture 81 Introduction
Lecture 82 Chapter Goals
Lecture 83 Layers of Security
Lecture 84 ABAC vs RBAC
Lecture 85 Authentication vs Authorization
Lecture 86 Why Section Access?
Lecture 87 Section Access Basics
Lecture 88 Section Access – App Authorization
Lecture 89 Troubleshooting App Lockdown
Lecture 90 Section Access – Data Authorization
Section 15: On Demand App Generation (ODAG)
Lecture 91 Introduction to On Demand App Generation
Lecture 92 On Demand App Generation Example
Section 16: Tips & Tricks
Lecture 93 Tips & Tricks Videos
Lecture 94 Optimized QVD Load
Lecture 95 How to Load Data from a SharePoint List
Lecture 96 Peek() vs Previous()
Lecture 97 Table Concatenation & Date Fields
Beginner QlikSense developers interested in mastering scripting to build a data model,QlikView developers who are interested in mastering scripting in QlikSense
Course Information:
Udemy | English | 6h 26m | 2.34 GB
Created by: Vertechs .IO
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