Access our comprehensive labor market data through your preferred platform or data warehouse.
TalentInsights Data Shares provide a seamless way to access our labor market data directly in your existing data infrastructure. Choose from multiple delivery methods to best fit your needs.
All data transfers are encrypted and secured using industry-standard protocols and authentication methods.
Data is refreshed on a regular schedule to ensure you always have access to the most current information.
Multiple data formats and delivery options to integrate seamlessly with your existing systems and workflows.
Direct access to data through Amazon Simple Storage Service (S3) buckets.
Our team will set up a shared S3 bucket with appropriate access controls. You can then access the data directly or integrate it with other AWS services.
Delta sharing protocol integration with Databricks workspace.
We'll establish a Delta Share connection to your Databricks workspace. Data will appear as tables in your Databricks catalog that can be queried directly.
Direct integration with Google's serverless data warehouse.
We'll create a shared BigQuery dataset that will appear in your Google Cloud project. You can then query the data using standard SQL.
Data sharing through Google Cloud Storage buckets.
We'll establish a shared GCS bucket that your organization can access. Data can be downloaded directly or integrated with your Google Cloud services.
Integration with Azure Data Lake Storage and Azure Synapse.
We'll configure Azure Data Share to provide access to our datasets. The data will appear in your Azure environment ready for analysis.
Secure file transfer protocol for regular data deliveries.
We'll establish a secure SFTP connection to your server, or provide credentials for our SFTP server. Data will be delivered on a scheduled basis.
Secure data sharing through Snowflake Data Marketplace.
We'll create a Snowflake share that will appear in your Snowflake account. You can then create databases from the share and query them like any other Snowflake table.
Contact our team to discuss your specific data sharing needs