Data management depends on how data is sourced and what level of related maintenance is required. You need to connect to a data source before you can create visualizations in a Qlik Sense app. Datasets can be:
- Uploaded once and never modified.
- Modified manually through Data manager.
- Replaced or refreshed with net new changes.
Data connections in the Data load editor provide ways to manage data sources you commonly use whether they are databases, local files, or remote files. You might also want to take advantage of Insight Advisor’s analysis-based recommendations for associating tables and building data models, or you can create your own associations and joins.
Learn how to add data files and data connections directly in the cloud hub
Learn how to connect to, add, and manage data with Data Manager.
Learn how to connect to and retrieve data from various data sources using data load scripts.
Whether your data is stored on-premise or in the cloud, you can quickly load it into SaaS editions of Qlik Sense.
Learn how to use statements and functions in the script to load and transform data into your app.
This tutorial introduces loading and manipulating data in Qlik Sense using scripting in the data load editor.
This tutorial introduces advanced scripting concepts. This includes transforming data using cross-tables, cleaning data, and creating and loading data from Qlik data files (
Learn how to view and transform the data structure of an app.
Take a look at the best practices for data modeling.
Learn how to improve your data efficiency while maintaining security and compliance standards.
This step-by-step walkthrough shows how you can use forced concatenation to combine two similar data tables.
This step-by-step example shows how to increment data loads using the Store command.
Learn how use section access to control the security of an application.
Learn how to load and analyze big data sources in Qlik Sense using on-demand apps.
Learn how to control the analytic sources and when data is refreshed in visualizations using dynamic views.
Learn how to customize how Insight Advisor interprets your app data when generating insights from queries.
This tutorial introduces how you can use business logic to customize how Insight Advisor interprets your data in search-based analytics.