Mastering Qlik Sense [Video]

More Information
Learn
  • Dive into schemas in data modeling and Qlik Sense preferences when creating dashboards with accelerated performance
  • Load data from different data sources and know about the various connectors available within Qlik Sense
  • Fix real-world issues you face, such as synthetic keys while loading your data
  • Modify data in existing tables to obtain values required for your dashboard design as per business requirements
  • Transform data to generate new columns and achieve desired outcomes on the dashboard
  • Understand the use and benefits of including Preceding Load and Mapping Load in your data model
  • Take a look at the different types of join and use them to optimize data models
  • Realize the significance of Link Tables and how to create them so you can get better insights
  • Master the Calendar script and modifications that we can make to obtain fields for timeline analysis
About

You've probably done some beginner work on Qlik Sense, so you know how easy it is to work with the interface. However, there is always more than what we see on the Qlik Sense dashboard. Work done by developers in the extremity plays a very important role while making an appealing and well-performing dashboard.

If your data model is not designed appropriately, you will face issues not only with the performance of the app but also with the quality of its output.

In this course, we look at everything that goes into creating a data model to give you the most optimized performance, including how to load data from different data sources, fix synthetic keys, and other issues. Also included are topics such as creating link tables, the master calendar script, and applying set analysis to your data. Thus, you will master the art of creating dashboards that are not only visually appealing and accurate but also very informative and a BIG bonus to your team while making those tough decisions.

The scripts for this course are available on Github at - https://github.com/PacktPublishing/Mastering-Qlik-Sense-v-

Style and Approach

This course is packed full of hands-on examples. You'll go through and understand concepts in a step-by-step manner, and explore their explanation to understand why and how things work while looking at the hands-on examples to try to understand the concepts further. This course has various in-depth sections that provide you with the skills needed to create a data model for a great app in Qlik Sense.

Features
  • Get acquainted with the basic as well as advanced Business Intelligence capabilities of Qlik Sense
  • Develop Qlik Sense models (using data in various formats) that run on-premise as well as on the cloud
  • Administer your Qlik Sense applications for maximum performance and reliability
Course Length 3 hours 43 minutes
ISBN 9781789534528
Date Of Publication 28 Feb 2019

Authors

Diksha Bhosle

Colibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as Big Data, Data Science, Machine Learning, and Cloud Computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the World's most popular soft drinks companies, helping each of them to better make sense of its data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.

Diksha Bhosle is a versatile trainer from Colibri Digital. She has over 12 years' experience and has trained in a number of different technologies including Microsoft, CRM, Marketing Applications and of course Qlik Sense and Qlik View. Having worked with Qlik Technologies for a few years she has in-depth knowledge and understanding of both Qlik View and Qlik Sense. After a number of interactions with Various Qlik Sense customers, she has gained a deeper understanding of common issues faced by customers.