![]() If you don't have a license token for a paid version of Metabase and you don't need a production installation, these steps for the quick start plus a minor adjustment to include a ClickHouse driver is what you need. However, similar results can be achieved using the. However, the same techniques are applicable to your data.ĭepending on your operating system and preferences, you can choose between two approaches when setting up the open source edition of Metabase: using a Docker image or running Metabase as a JAR. We'll be utilizing the data from the "What's on the Menu?" dataset in the examples below. The official documentation of ClickHouse offers a convenient set of instructions to create the tables and load the data. This dataset is easy to setup and it has ample opportunities for exploration. If you already have data in your ClickHouse database for analysis, feel free to skip this step and visualise your data.Īlternatively, you can use a dataset from New York Public Library "What's on the Menu?" as an example. We also have documentation for detailed instructions. Once you're logged into the Aiven platform, click on Create service and follow the wizard to set up the preferences. You'll get free credits that you can use for this tutorial. If you still don't have an Aiven account, register over here. We recommend you use Aiven for ClickHouse when following this tutorial. In this section we'll set up the cluster and load the data that we can use for analysis. After completing this tutorial you'll have a dashboard in Metabase with insights from the data you have in ClickHouse.Īfter all, a picture is worth a thousand words. In this tutorial, you'll learn how you can integrate a ClickHouse® database with the open source BI tool Metabase to visualise the data stored in your database. BI tools allow organisations to transform their data into visual, actionable insights that support informed decision-making. That's where Business Intelligence (BI) tools can help us. As organizations generate more and more data, it becomes increasingly difficult to extract meaningful insights from the raw information. Data analysis is a critical component of modern business operations.
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