--- title: "Define, analyze and clean your data sources" description: "In this step, you will learn how to connect your first data source to your Project" url: https://docs.ovhcloud.com/pt/guides/public-cloud/data-platform/getting-started-connect-sources lang: pt lastUpdated: 2026-09-14 --- > For AI agents: the complete documentation index is available at https://docs.ovhcloud.com/pt/llms.txt, the full documentation bundle is available at https://docs.ovhcloud.com/pt/llms-full.txt. # Define, analyze and clean your data sources ## Objective In this step, you will learn how to **connect your first data source** to your Project, **analyze** and **clean** it in a consistent way so that relations between your data can be understood at a glance. :::info This step assumes a project is open. If you do not have one yet, [create a project](https://docs.ovhcloud.com/pt/guides/public-cloud/data-platform/manage-projects-create.md) first. ::: The **Connectors** is the first component you should use when starting out on your Project. It is the component that controls: - Data sources collection - Data analysis & cleaning ![Connectors](/images/public-cloud/data-platform/getting-started/app-init/picts/connectors-home.png) The data source consists of two CSV files containing data about Chicago weather and public transport. ## Connect your first source Let’s go get your data! :::info To get your data, download the following files [here](https://eu.dataplatform.ovh.net/getting-started/chicago_files.zip). Once unzipped, you will find 2 _.csv_ files: ::: - _chicago\_calendar\_full.csv_ - a table with weather conditions by day where each row represents a day. - _station\_rides.csv_ - a table with railway usage information per station per day where each row represents a day on a given station. Inside the Connectors, go to the menu **Sources** (1) and click on the **New Source** (2) button on the top right-hand corner to connect your very first data source. ![Connectors](/images/public-cloud/data-platform/getting-started/app-init/picts/datacatalog-step1.png) There are many connectors supported by the Platform. In this tutorial, you will use a simple file upload. Look for _File upload_ in the search bar, click on the icon and then click on the green _Select_ button or you can quickly click the _File Upload_ button on the bottom right. ![Connectors](/images/public-cloud/data-platform/getting-started/app-init/picts/datacatalog-step2.png) Give a name to your source: for example _chicago\_files_. Then you can **drag & drop or upload the 2 files** provided at the beginning of the tutorial, and click on **Create**. ![Connectors](/images/public-cloud/data-platform/getting-started/app-init/picts/datacatalog-step3.png) Your files are now loaded to a [bucket](https://docs.ovhcloud.com/pt/guides/public-cloud/data-platform/lakehouse-manager-buckets.md)! ![Connectors](/images/public-cloud/data-platform/getting-started/app-init/picts/datacatalog-step4.png) Now, let's move on to extracting their metadata. ## Analyze your source data You should still be inside the Connectors component. Click on **Analyzer** from the left-hand menu. Here you will extract metadata (i.e. information about your data) from your sources and choose which columns you want to display. The two source files you just uploaded appear on the sidebar. Click on the respective source name (i.e. _chicago\_files_) to expand it. Then, click on each of the files to automatically launch a metadata extraction. ![Connectors](/images/public-cloud/data-platform/getting-started/app-init/picts/datacatalog-step5.png) The metadata extraction should take around 30 seconds. :::info The Analyzer is also where you can add blueprint rules (by clicking on the blue button _New Rule_). The Platform automatically applies a formatting transformation on dates to set them in a standard _yyyy-mm-dd_ format. ::: [ Learn more about the Analyzer](https://docs.ovhcloud.com/pt/guides/public-cloud/data-platform/landing-page-connectors-analyzer.md) It's time to head to the Lakehouse Manager to see what's next. [Create and Build your data models](https://docs.ovhcloud.com/pt/guides/public-cloud/data-platform/getting-started-organize-data.md) ## Go further If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](https://www.ovhcloud.com/pt/professional-services/) to get a quote and ask our Professional Services experts for a custom analysis of your project. Ask questions, give your feedback and interact directly with the team building the Data Platform on the dedicated [Discord channel](https://discord.gg/ovhcloud). If you need support with your OVHcloud services, create a request in our [Help Centre](https://help.ovhcloud.com/csm?id=csm_get_help). Join our [community of users](https://community.ovhcloud.com/).