Data connections overview
Overview
In this tutorial series, you are going to learn about data connections, how to create them, update them, and delete them. You'll also learn how they relate to other assets in Qlik Cloud, such as Analytics apps, data files, data stores, data assets, data sets, automation connections and data integration sources and targets.
Analytics Data Connections
A Qlik Cloud Analytics data connection refers to a connection established between your Qlik Cloud tenant and a data source, which can be directly used for sourcing data for loading into Qlik Sense applications.
Data connections in Qlik Cloud enable the integration of data from a wide range of systems and databases, such as relational databases, spreadsheets, cloud-based data sources, web services, and more. These connections provide a bridge for bringing data into Qlik Cloud applications, allowing users to build data models, create visualizations, and perform data analysis.
Each connection requires connection parameters such as server addresses, authentication credentials, and other relevant configuration details specific to the data source. Once configured, these connections can be shared as assets within spaces, and leveraged by users with appropriate access rights.
To learn more about connectivity to analytics data sources in Qlik Cloud, review the get started help pages.
To learn more about the available connectivity to web-based, web storage, JDBC, ODBC, REST, salesforce, and SAP sources, review the full list at Qlik Cloud Analytics data sources.
Connections in Qlik Cloud
Qlik Cloud Analytics data connections are leveraged primarily for building Qlik Sense apps. It is important to know that Qlik Cloud supports other types of connections to data sources for other purposes, including:
- Qlik Cloud Data Integration sources and targets
- Application Automation connections
This tutorial series covers analytics data connections.
API support for data connections
There are several APIs in Qlik Cloud which support the creation and management of Analytics data connections. These are:
- Data connections - manages metadata for data connections.
- Data credentials - manages metadata for data credentials.
- Data Connectivity as a Service (DCaaS) - supports creation of data connections and data credentials.
Data connections and data credentials are legacy management APIs which can be used in conjunction with the DCaaS API to perform common tasks such as minor metadata updates and connection management.
Next steps
Now that you understand the basics of data connections, why not try creating a data connection?
