1. What is Qlik Sense, and how does it differ from QlikView?
The main difference between Qlik Sense and QlikView lies in their approach to data visualization and user experience. QlikView is more focused on guided analytics with a structured development process, whereas Qlik Sense emphasizes self-service analytics, allowing users more flexibility to explore data and create their own visualizations without requiring extensive technical knowledge. Additionally, Qlik Sense offers a modern, responsive user interface and supports collaborative analytics, making it more suitable for a broader range of users and use cases.
2. Can you explain the architecture of Qlik Sense?
Sure. Qlik Sense follows a multi-tier architecture comprising a front end, where users interact with visualizations and dashboards, and a back end, where data is loaded, transformed, and stored. The back end consists of a data engine for in-memory data processing, a repository for metadata management, and a web server for user access, while the front end includes a web-based interface for creating and consuming analytics content.
3. What are the main components of a Qlik Sense application?
: The main components of a Qlik Sense application include the data load script editor for loading and transforming data, the data model viewer for understanding data relationships, and the sheet view for creating visualizations and dashboards
4. How do you load data into Qlik Sense? Explain different data loading techniques.
Data can be loaded into Qlik Sense using various techniques including manual data entry, loading from files (like Excel or CSV), connecting to databases (like SQL Server or Oracle), utilizing REST connectors for web data, or using data integration platforms like Qlik Data Integration.
What is a data model in Qlik Sense, and how is it created?
A data model in Qlik Sense is a structure that defines the relationships between tables and fields in your data, facilitating associative data analysis. It's created automatically during the data loading process based on the associations established between tables in the script editor or through data modeling techniques like concatenation, mapping, or joining tables.
6. How does Qlik Sense handle data associations?
Qlik Sense handles data associations through its associative model, where data is linked dynamically based on shared fields during data load. This allows users to explore data freely, as selections made in one visualization automatically affect others, fostering a deeper understanding of data relationships.
7. What is the role of the Qlik Sense Hub?
The Qlik Sense Hub serves as the central access point for users to discover, access, and interact with Qlik Sense apps, providing a unified environment for exploring and analyzing data
8. Can you describe the difference between data reduction and section access in Qlik Sense?
In Qlik Sense, data reduction reduces the amount of data visible to users based on their assigned data access permissions, while section access restricts access to specific data and functionality within an application based on user credentials.
9. How do you create visualizations in Qlik Sense? Explain some common visualization types
Visualizations in Qlik Sense are created by dragging and dropping fields onto the canvas in the sheet view, and common types include bar charts, line charts, pie charts, tables, maps, and scatter plots.
10. What are the benefits of using set analysis in Qlik Sense?
: Set analysis in Qlik Sense allows users to define and manipulate data sets dynamically, enabling them to perform complex analysis and comparisons within their visualizations without altering the underlying data model.
