Qlik Sense Data Architect Course Overview

Prerequisites for the Qlik Sense Data Architect Course:

• Familiarity with SQL: Basic knowledge of SQL and its use in querying relational databases.
• Understanding of Relational Databases: A fundamental grasp of relational database concepts such as tables, relationships, and data integrity.
• Knowledge of Qlik's QVD Architecture: Awareness of Qlik's QVD data storage format and its significance in data loading and transformation.

Target Audience for Qlik Sense Data Architect

Unlock the full potential of Qlik Sense with our 32-hour Qlik Sense Data Architect course, tailored for professionals aiming to excel in data application development and architecture.

Target Audience and Job Roles:

• Data Analysts
• Data Architects
• Business Intelligence Developers
• Data Engineers
• SQL Developers
• IT Professionals with database experience
• Qlik View Developers transitioning to Qlik Sense
• Data Visualization Specialists
• ETL Developers
• Data Governance Specialists
• IT Managers and Team Leads in Data-centric Projects
• Business Analysts who work closely with data

Learning Objectives - What you will Learn in this Qlik Sense Data Architect?

1. Introduction: The Qlik Sense Data Architect course is designed to impart comprehensive skills in data loading, modeling, transformations, and security management, providing learners with the expertise to excel in Qlik Sense application development.

2. Learning Objectives and Outcomes:

   • Understand the Role of a Qlik Sense Data Architect: Gain an in-depth understanding of the responsibilities, required skills, and components of the Qlik Sense architecture.
   • Master Data Loading Techniques: Learn how to effectively load data from various sources including databases and Excel, accounting for practical considerations.
   • Navigate Data Modelling Interfaces: Become proficient using the Data Load Editor, Data Manager, and Data Model Viewer for efficient model management.
   • Develop Robust Data Models: Learn to perform calculations, transformations, and data associations; and architect effective and efficient Qlik Sense data models.
   • Conduct Data Transformations: Apply associations, concatenations, and joins to transform and manipulate data for analysis.
   • Debug and Validate Models: Develop skills to debug scripts, resolve data model issues, and ensure data accuracy and efficiency.
   • Implement Security Protocols: Gain knowledge in implementing section access and managing user roles to enforce data security at various levels.
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