QlikView Data Architect Course Overview

QlikView Data Architect Course Overview

Explore the QlikView Data Architect course, a comprehensive 16-hour training program designed to introduce you to the world of QlikView. This course covers essential topics such as data loading techniques, model architecting, and debugging/validation. You'll learn how to associate tables, transform data, create a master calendar, and manage data models effectively.

### Learning Objectives:
- Understand why QlikView is a vital tool for data analysis.
- Master the basics of data loading from various sources.
- Gain skills in model architecting, including joining and concatenating tables.
- Develop proficiency in debugging and validating data models.

By the end of this course, you will be equipped with the practical knowledge to handle real-world data challenges using QlikView.

Purchase This Course

850

  • Live Training (Duration : 16 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • date-img
  • date-img

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

  • Live Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

Request More Information

Email:  WhatsApp:

Koenig's Unique Offerings

Course Prerequisites

Prerequisites for QlikView Data Architect Course

  • Basic Understanding of Data Concepts: A fundamental grasp of data terminology and concepts will help you follow the course content more effectively.
  • Familiarity with Business Intelligence (BI) Principles: A basic awareness of BI principles will provide you with the context needed to understand QlikView's applications and relevance.
  • Experience with Data Analysis or Spreadsheets: Prior experience in working with spreadsheets like Excel or any form of data analysis will make it easier to grasp the course material.

These prerequisites are designed to ensure that you have the foundational knowledge required to make the most of the training, while still being accessible to learners with varying degrees of experience.


Target Audience for QlikView Data Architect

QlikView Data Architect is a comprehensive 16-hour course designed to teach data loading, model architecting, and debugging in QlikView. Ideal for individuals with BI experience and data familiarity.


  • Data Analysts


  • Business Intelligence (BI) Developers


  • Data Engineers


  • Data Scientists


  • Database Administrators


  • IT Professionals


  • System Analysts


  • Report Developers


  • Business Analysts


  • Project Managers in IT and Data-focused roles


  • Professionals working with Excel or similar data tools


  • BI Consultants




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

Introduction

The QlikView Data Architect course by Koenig Solutions offers a thorough grounding in QlikView fundamentals, covering data loading techniques, model architecting, debugging, and validation. This 16-hour program is ideal for those aiming to leverage QlikView for advanced data analysis and business intelligence.

Learning Objectives and Outcomes

  • Understand the significance of QlikView and its role in business intelligence.
  • Learn the basics of data loading from various sources into QlikView.
  • Master the skills required to architect data models within QlikView.
  • Develop the ability to associate, transform, and create data within QlikView models.
  • Gain expertise in debugging scripts and resolving data model issues.
  • Validate data models to ensure data integrity and accuracy.

By the end of this course, students should be able to:

  • Identify the unique benefits and features of QlikView for business intelligence applications.
  • Efficiently load data from different databases and sources into QlikView.
  • Design and optimize data models by associating tables, transforming data, and creating master calendars.
  • Use joins, concatenation, and mapping techniques to combine tables effectively.
  • Debug and validate QlikView scripts to troubleshoot and fix issues

Target Audience for QlikView Data Architect

QlikView Data Architect is a comprehensive 16-hour course designed to teach data loading, model architecting, and debugging in QlikView. Ideal for individuals with BI experience and data familiarity.


  • Data Analysts


  • Business Intelligence (BI) Developers


  • Data Engineers


  • Data Scientists


  • Database Administrators


  • IT Professionals


  • System Analysts


  • Report Developers


  • Business Analysts


  • Project Managers in IT and Data-focused roles


  • Professionals working with Excel or similar data tools


  • BI Consultants




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

Introduction

The QlikView Data Architect course by Koenig Solutions offers a thorough grounding in QlikView fundamentals, covering data loading techniques, model architecting, debugging, and validation. This 16-hour program is ideal for those aiming to leverage QlikView for advanced data analysis and business intelligence.

Learning Objectives and Outcomes

  • Understand the significance of QlikView and its role in business intelligence.
  • Learn the basics of data loading from various sources into QlikView.
  • Master the skills required to architect data models within QlikView.
  • Develop the ability to associate, transform, and create data within QlikView models.
  • Gain expertise in debugging scripts and resolving data model issues.
  • Validate data models to ensure data integrity and accuracy.

By the end of this course, students should be able to:

  • Identify the unique benefits and features of QlikView for business intelligence applications.
  • Efficiently load data from different databases and sources into QlikView.
  • Design and optimize data models by associating tables, transforming data, and creating master calendars.
  • Use joins, concatenation, and mapping techniques to combine tables effectively.
  • Debug and validate QlikView scripts to troubleshoot and fix issues