# Access Amazon Connect data lake
<a name="access-datalake"></a>

To access the data lake, you can use the AWS console, the [AWS Command Line Interface](https://aws.amazon.com/cli/) or [AWS CloudShell](https://docs.aws.amazon.com/cloudshell/latest/userguide/welcome.html). AWS CloudShell is a browser-based, pre-authenticated shell that you can launch directly from the AWS Management Console. 

There are two ways to access the analytics data lake and configure data to be shared: 
+ [Option 1: Use the Amazon Connect console](#option1-configure-data-to-be-shared)
+ [Option 2: Use CLI or CloudShell](#option2-configure-data-to-be-shared)

If you are unable to access the scheduling tables by using Option 1, try using Option 2.

## Option 1: Use the Amazon Connect console
<a name="option1-configure-data-to-be-shared"></a>

1. Open the Amazon Connect console at [https://console.aws.amazon.com/connect/](https://console.aws.amazon.com/connect/).

1. On the instances page, choose the instance alias. The instance alias is also your instance name, which appears in your Amazon Connect URL. The following image shows the Amazon Connect virtual contact center instances page, with a box around the instance alias.  
![\[The Amazon Connect virtual contact center instances page.\]](http://docs.aws.amazon.com/connect/latest/adminguide/images/access-datalake-configure-data-option1-1.png)

1. On the left navigation menu, choose **Analytics Tools** and then choose **Add data share**.  
![\[The Amazon Connect analytics tools page.\]](http://docs.aws.amazon.com/connect/latest/adminguide/images/access-datalake-configure-data-option1-2.png)

1. For the **Target AWS account ID** specify the AWS account ID of the account from which you wish to access data (consumer). This can be the same AWS account as hosts your Amazon Connect instance or a different AWS account. Select one or multiple data types you wish to access from the consumer account and select **Confirm**.  
![\[The Amazon Connect analytics tools Add data share page.\]](http://docs.aws.amazon.com/connect/latest/adminguide/images/access-datalake-configure-data-option1-3.png)

## Option 2: Use CLI or CloudShell
<a name="option2-configure-data-to-be-shared"></a>

1. Generate the `generate Association api` request file by running the `aws connect batch-associate-analytics-data-set --generate-cli-skeleton input > input_batch_association.json` command.

1. Open the JSON file in a text editor and enter the following:
   + **Instance ID** – Your Amazon Connect instance ID.
   + **DataSetID** – Enter the required tables. For more information about required tables, see [Associate tables for the Amazon Connect analytics data lake](datalake-tables.md).
   + **TargetAccountId** – Account ID to share data.

   Following is an example of the JSON file with all of the [tables](datalake-tables.md). 

   ```
   {
   "InstanceId": your_instance_id,
   "DataSetIds": [
     "contact_record",
     "contact_flow_events",
     "contact_statistic_record",
     "contact_lens_conversational_analytics",
     "agent_queue_statistic_record",
     "agent_statistic_record",
     "contact_evaluation_record"
   ],
   "TargetAccountId": your_account_ID
   }
   ```

1. Associate the data lake to a single account by running the `aws connect batch-associate-analytics-data-set --cli-input-json file:///path/to/request/file` command (where this path is based on the location of the JSON file).