> ## Documentation Index > Fetch the complete documentation index at: https://resources.begenuin.com/llms.txt > Use this file to discover all available pages before exploring further. # Big Query Big query offers access to structured **data storage**, **analytics** which is cost effective and widely used by multiple business. You can easily connect your BigQuery account to the **BCC (Brand Control Center)** and receive the [Zero party data](https://resources.begenuin.com/faqs/zero_party_data). Firstly follow the below steps to build the BigQuery connection with the Google Cloud account. ## Big Query **Step 1**: Open your google cloud account, create a service account and click on **Edit** permission. **Step 2**: Assign the role. * **2.1**: Role = BigQuery Data Editor **Step 3**: Set the condition as shown in the image. * **3.1**: Set **Condition 1** as **Service** > **is** > **bigquery.googleapis.com** * **3.2**: Set **Condition 2** as **Name** > **Starts with** > `projects//` Following are the steps to connect your **BigQuery** account with BCC (Brand Control Center). ## Step 1: Login to BCC ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd6gMmBKvilx9hFZLVF7ZtetERT8D9xqIzRV5mt4F-OOvKGutgCcuwuNUncrjEq53Zkz8MeXwlLS2FTYWc92DgGe8MDdmqsxboB37mnN-m-3WoREMP6iC5VY1m254YUOOgJLxQ_wA?key=NJAxIqXiZeNiZiAibwOlOvRw) ## Step 2: Navigate to **Settings** > **Data Sources** > **Big Query** ## Step 3: **Select Account type** (**User** or **Service**), ### For User Insert the **Dataset ID** (`project_name.dataset_name`) and set the **frequency** (**Daily**, **Weekly**, **Monthly**) to send the Data. **Sign in with Google** to connect the BigQuery account. ### For Service **Note:** If you have selected the **Service** as an **Account Type** then you have to upload the [JSON authentication file](https://support.google.com/a/answer/7378726?hl=en#:~:text=the%20service%20account-,Click%20APIs%20&%20Services,Click%20Close) along with dataset name After uploading all the details click on the **Connect** button to connect the **BigQuery** account. ## Connection Once the connection is successfully built then a table named “**genuin\_data**” will be created under your dataset. All of the data will be passed based on the below structure. ## Disconnection Once the **BigQuery** account is connected then you can also **Disconnect** it. Confirm the **Disconnection** request as shown in the below screenshot. Once the connection is successfully disconnected then a toast message will be visible. Now the data will not be sent further although the past data will remain the same.