Peak Support

Data Bridge 5

• Introducing Data Bridge
• Connecting Peak to a data lake
• AWS IAM Configuration
• Connecting Peak to a Snowflake data warehouse
• Connecting Peak to an Amazon Redshift data warehouse

Data Sources 7

• Managing Data Sources
• Configuring Database Connectors
• Configuring Application Connectors
• Configuring File Storage Connectors
• Choosing a destination for a data connector

View all 7

File Manager 1

• File Manager Overview

Database Connectors 7

• Configuring a Redshift Connector
• Configuring a Snowflake Connector
• Configuring a BigQuery Connector
• Configuring a PostgreSQL Connector
• Configuring a MSSQL Connector

View all 7

Applications Connectors 4

• Configuring a Facebook Ads Connector
• Configuring a Google Ads Connector
• Configuring a REST API Connector
• Configuring and managing Webhook Connectors

File Storage 8

• Configuring a FTP / SFTP file feed
• Peak Schemas
• Ad hoc Upload
• Creating a feed for a file
• Signed URL Upload Guidelines

View all 8

SQL Explorer 2

• SQL Explorer Overview
• SQL Explorer Visualizations

Workspaces 5

• Workspaces Overview
• Accessing Workspaces
• Creating a new Workspace
• Moving data from Redshift to a Jupyter Workspace
• Moving data from Redshift to an RStudio Workspace

Workflows 11

• What are Workflows?
• Adding and Publishing Workflows
• Trigger Workflows from GitHub Actions
• Workflows - Standard Step Configuration
• Workflows - Input Data Step Configuration

View all 11

Image Management 3

• Image Management Overview
• Building and Editing Custom Images
• Using Docker with Peak

Amazon Personalize 6

• Amazon Personalize Overview
• Concepts and Terminology - Amazon Personalize
• Configuring a Workflow for Amazon Personalize
• Input and map data from your Redshift table - Amazon Personalize
• Configure the model training parameters - Amazon Personalize

View all 6

Model Management 5

• Activating the Experiments Page - Model Management
• Model Management Overview
• Configuring Peak to work with MLflow - Model Management
• Adapting models to work with MLflow - Model Management
• Running Experiments

Home 4

• Signing in
• Peak Home
• Peak Menus
• Creating a Peak Support account

Dock 2

• Bringing data into Peak
• Transforming data

Factory 4

• Setting up development environments
• Managing container images
• Building workflows
• Tracking and training your models

Work 1

• Outputting your results