QlikView’s Data Structure – The Magic Behind Its Analytics

In QlikView, data is stored in a structured format called a data model. The data model consists of tables and relationships, which define how the data is connected and how it can be queried and analyzed.

Tables in QlikView are made up of rows and columns, similar to a spreadsheet. Each row represents one record, and each column represents a data field or characteristic. Tables can be linked together using relationships, which define how the data in one table is related to the data in another table.

There are two main types of relationships in QlikView:

1. One-to-one relationships: A one-to-one relationship is a connection between two tables where each row in one table is related to a single row in the other table.
2. One-to-many relationships: A one-to-many relationship is a connection between two tables where one row in one table is related to multiple rows in the other table.

By defining relationships between tables, you can create a structured data model that allows you to easily navigate and analyze your data in QlikView.

The structure of data in QlikView is important because it determines how the data is organized and how it can be accessed and analyzed. A well-structured data set in QlikView makes it easier to create accurate and meaningful visualizations, and allows for more efficient querying and analysis of the data.

Additionally, proper data structure can help ensure data integrity and consistency, and can make it easier to maintain and update the QlikView application over time.

QlikView data structure has several key features, including:

1. In-memory data model: QlikView stores all data in memory, which allows for fast and efficient querying and analysis of the data.
2. Associative data model: QlikView uses an associative data model, which allows users to easily navigate and explore data relationships by clicking on data points within a visualization.
3. Data reduction: QlikView automatically reduces data to only the relevant information needed for a specific analysis, which improves performance and reduces data clutter.
4. Data transformation: QlikView allows for easy data transformation through its built-in data load editor, which can handle tasks such as data cleansing, data validation and data transformation before load.
5. Data collaboration: QlikView allows multiple users to access and work on the same data set simultaneously, and also allows for easy sharing of data and visualizations.
6. Data security: QlikView provides granular security, which allows to control user access to specific data, fields and tables.
7. Flexibility: QlikView can handle and combine data from multiple sources, including structured and unstructured data, allowing for a wide range of analysis and reporting options.