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Previously in our blog series, we did a general overview of Qlik Cloud’s New UI, and in subsequent entries we focused on the first and second sections of Qlik Cloud’s new UI, Insights and Analytics. Those entires can be found here and here respectively. Today we’ll be looking at the third section of the new Qlik Cloud UI: Data Integration.
Here in the Data Integration section of Qlik Cloud, you’ll find everything needed in terms of Data Projects. In contrast to the Analytics section, Data Integration is focused on creating connections to your data and creating spaces and data projects to help you transform and import your data.
The first section of our tour is ‘Home’. When you click on this section, you’ll notice that it is much different than the Home section of Analytics. In this section you’ll find your various data projects, along with sections to create data spaces, connections, pipelines and automations. Home in Data Integration, like in Analytics, is the perfect place to start when you’re working with Data Integration, providing ‘Getting Started’ videos in the top right-hand corner as well.
The second section of Data Integrations is ‘Data Marketplace’. The Data Marketplace acts as hub where organizations can manage and share datasets. Here you’ll find your recently viewed datasets and are able to browse and search for a dataset that is available to you.
The Catalog section of Data Integration is similar to the Catalog in Analytics. Here you will find the apps that are within your tenant, along with various other items such as scripts, data flows and even charts. You can search for any of these items by name, or by filtering to find them more easily.
Data Quality allows users to adjust the trust score of their datasets. Users are given the option of four different metrics for their trust score, Validity, Completeness, Discoverability, and Usage. Please keep in mind when designating a value to these metrics, that all four must add up to 100.
In the Projects section you’ll find all of your data projects. These projects are based around two categories, Data Pipeline projects and Data Replication Projects. Here you’ll be able to create these data projects and edit or update them. Deeper into this section, users can apply Transformations to their data and establish and manage Data Marts as well.
In Monitor Views, users are given an overview of their data project tasks. We’ll find the name of our task, which project that task belongs to, which platform and target that project is connected to. This is a great view to see is any of your data projects have run into errors when updating or transferring data along when the last update occurred.
Connections will show users both the Sources and Targets that they have established within their tenant. Once a connection is established, users can manage them as well, choosing to either Edit, Delete or Test a connection. Users will be shown the name of the connection, the platform of the connection, the owner and if a Data Gateway was used to provide the connection.
The Automation section displays the various Automations that have been established within the tenant. Automations provides a no-code, visual interface for your data workflows. According to help.qlik.com ”An automation is a sequence of actions and triggers that runs like a program. It can be a simple workflow that collects information from one application and passes it to another, or it can be an end-to-end pipeline that takes you from raw data to active intelligence.”
That completes our look at Data Integration. Did you learn something from this blog? If so, leave it in a comment down below. If you missed the previous entries, they can be found here.