- Overview
- Platform setup and administration
- Platform setup and administration
- Platform architecture
- Data Bridge onboarding overview
- Connecting a Peak-managed data lake
- Connecting a customer-managed data lake
- Creating an AWS IAM role for Data Bridge
- Connecting a Snowflake data warehouse
- Connecting a Redshift data warehouse (public connectivity)
- Connecting a Redshift data warehouse (private connectivity)
- Reauthorizing a Snowflake OAuth connection
- Using Snowflake with Peak
- SQL Explorer overview
- Roles and permissions
- User management
- Inventory management solution
- Commercial pricing solution
- Merchandising solution
Supply Chain & Retail Solutions user guide
Data Bridge onboarding overview
When you sign in to Peak for the first time, you are prompted to connect a data lake and a data warehouse. You must complete this onboarding before you can use Peak features that rely on data ingestion.
Data lake onboarding
Peak currently supports Amazon S3 data lakes. You can choose one of these options:
- Peak-managed: Peak creates and manages the data lake after you select a region. This is the quickest option — Peak holds all the security credentials required to make a connection.
- Customer-managed: You configure your existing Amazon S3 bucket. Peak generates an IAM policy that you use when creating the IAM role in your AWS account, allowing Peak to access your storage securely.
Data warehouse onboarding
You can connect one of the following data warehouse types:
- Amazon Redshift
- Snowflake
Your data lake and data warehouse must be in the same region.
For Amazon Redshift, you select the region and connectivity type (public or private). Your data lake must be in the same region as your Redshift cluster.
For Snowflake, you provide your account credentials, region, and database schema details, then link your configured data lake. Your data lake and Snowflake account must be in the same region.
If you use a Peak-managed warehouse, Peak manages the credentials and provisioning.