> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-science-lab-6/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bdb.ai/data-science-lab-6/tabs-for-a-dsl-project/data/adding-data.md).
# Adding Data
## Adding Data Sets
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***Pre-requisites:***
* *The users must have permission to access the **Data Center** module of the Platform.*
* *The users must have the required data sets listed under the **Data Center** module.*
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*Check out the illustration to understand the steps for adding Datasets to a DSL Project.*
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***Adding Datasets to a DSL Project***
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* Open a Project.
* Click the ***Data*** tab to open it.
* Click the ***Add Data*** option from the ***Data*** tab.
* The ***Add Data*** page opens offering two options to choose data:
* Data service (the default selection)
* Data Sandbox Files
* Feature Stores
* Go ahead with the ***Data Sets*** option from the ***Data Source*** drop-down menu.
* Use the ***Search*** space to search through the displayed data service list.
* Select the required data set(s) using the checkboxes provided next to it.
* Click the ***Add*** option.
* The selected data set(s) gets added to the concerned project.
* A notification message appears to inform the same.
## Uploading and Adding Data Sandbox Files
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***Pre-requite:** The user must configure the **Sandbox Settings** to access the Data Sandbox option under the **Data Science Lab**.*
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*Check out the illustration to understand the steps for uploading and adding Datasandbox to a DSL Project.*
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***Uploading and Adding Data Sandbox Files***
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### Uploading a Data Sandbox
* Open a DSL Project.
* Click on the ***Data*** tab.
* Click the ***Add Data*** option.
* The user gets redirected to the ***Add Data*** page.
* Select the ***Data Sandbox*** option from the Data Source drop-down menu.
* Click the ***Upload*** option to upload a Data Sandbox file.
* The user gets redirected to the ***Upload Data Sandbox*** page.
* Provide a ***Sandbox Name***.
* Provide a ***Description*** of the Data Sandbox.
* Click the ***Choose File*** option to select a file.
* Choose a file from your system and upload it. The supported files are
* Click the ***Save*** option to begin the file upload.
* Wait till the uploaded file gets loaded 100%.
* The uploaded sandbox file gets added under the ***Add Datasets*** page.
* A notification message appears to indicate that the file has been uploaded.
### Adding Data Sandbox files
* The user gets redirected to the ***Add Data*** page.
* Select the ***Data Sandbox*** option from the ***Data Source*** drop-down menu.
* Use the search space to search a specific data sandbox.
* Select Data Sandbox files using the checkbox given next to the Sandbox entry (The uploaded Data Sandbox file appears at the top of the list).
* Click the ***Add*** option that appears after selecting the uploaded Sandbox file.
* The user gets redirected to the ***Dataset*** tab where the added dataset file gets listed.
* A notification message appears to inform that the selected Dataset (in this case, the selected Data Sandbox file) has been updated.
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*Please Note: The users get a **search bar** to search across the multiple Datasets options on the **Add Datasets** page.*
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## Adding Feature Stores
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*Check out the illustration to understand the steps for adding Feature Stores to a DSL Project.*
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***Adding Feature Stores to a DSL Project***
{% endembed %}
* Navigate to a DSL Project.
* Click the ***Data*** tab to open it.
* Click the ***Add Data*** option from the ***Data*** tab.
* The ***Add Data*** page opens offering three options to choose data.
* Select the ***Feature Stores*** option from the Data Source drop-down menu.
* Use the ***Search*** space to search through the displayed data service list.
* Select the required feature store(s) using the checkboxes provided next to it.
* Click the ***Add*** option.
* A notification message appears to inform the same.
* The selected feature store(s) gets added to the concerned project.
### Adding a Feature Store with Data Preparation
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*Check out the illustration to understand adding a Feature Store with Data Preparation.*
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***Data Preparation in a Feature Store***
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* Navigate to the ***Data Science Lab*** module.
* Click the ***Create*** option provided for the Feature Store.
* The ***Create Feature Store*** page opens.
* Provide a name to the Feature Set.
* Select a connector from the drop-down menu.
* Select a query from the table info. / Metadata list or write an SQL Query.
* Click the ***Validate*** option.
* A notification message ensures that the query is validated.
* The ***Preview*** of the data appears below.
* Click the ***Data Prep*** option.
* The user gets redirected to the Data Preparation page.
* Navigate to the ***Transforms*** tab.
* Choose a transform from the list. Here, the Label Encoding transform is selected from the ML category.
* A warning appears to remind the users that if the SQL query is changed, the applied data preparations or transformations will be lost.
* The ***Data Prep*** option will have a green mark suggesting that the Data Preparation is applied to the selected Feature Store.
* Click the ***Create*** option.
* A notification ensures that the Feature store job is initiated.
* The user gets redirected to the Feature Stores page.
* The newly created feature store gets added at the top of the list.
* Open a Project.
* The ***Workspace*** tab opens by default.
* Open the ***Data*** tab.
* Click the ***Add Data*** icon.
* The ***Add Data*** page opens.
* Select Feature Stores as an option using the ***Data Source*** filter menu.
* The list of the available Feature Stores will be listed.
* Select a feature store using the checkbox.
* Click the ***Add*** option.
* A notification appears stating that the feature store has been added.
* The recently added feature store appears under the Data section of the selected project.
* Add a new code cell and put a checkmark in the given checkbox next to the recently added Feature Store as data for the project.
* The Data gets loaded in the code cell.
* Run the code cell with the loaded feature store.
* The data preview appears below the code cell.