Training

Amperity Training helps you get hands-on with Amperity and learn in an environment led by experts who will walk you through the complete end-to-end workflow that is performed by users who are assigned the OPERATOR role.

For more information about Amperity training, including how to set up training for your company, talk with your Amperity Customer Support representative.

Scope of training

Amperity Training covers the following areas:

Scope of training	Links to supporting reference topics and tutorials
Run Amperity in a sandbox	How to operate in a sandbox
Send data to Amperity	A complete list of connected sources How to send data to Amperity from: Amazon S3 Azure Blob Storage Azure Data Lake Storage Campaign Monitor Oracle Responsys Salesforce Commerce Cloud Salesforce Marketing Cloud Salesforce Sales Cloud Any SFTP site Snowflake on Amazon AWS Snowflake on Azure Apply semantic tags: Which keys go where? About PII semantic tags About primary, customer, foreign, and separation keys Load and shape data: Feeds Saved queries Domain tables
Configure a courier	About couriers
Understand how Stitch works, then configure and run Stitch	How to configure Stitch
Analyze and understand the results of the Stitch process	About Stitch results
Build your customer 360 database	Build and design the customer 360 database, including the following required tables: Build and run the customer 360 database Add the Unified Customer table Add the Unified Scores table Add the Customer 360 table Add the Merged Customers table, which handles how PII data is rolled up across all your data sources
Build segments	Amperity has two segment editors: About segments Visual Segment Editor SQL Segment Editor Advanced scenarios, such as querying historical data
Send data to destinations	A complete list of connected destinations How to send data from Amperity to: Amazon S3 Azure Blob Storage Azure Data Lake Storage Campaign Monitor Facebook Ads Google Ads Mailchimp Microsoft Dynamics Oracle DMP (BlueKai) Oracle Responsys Salesforce Marketing Cloud Salesforce Sales Cloud Any SFTP site Snowflake on Amazon AWS Snowflake on Azure
Extend the customer 360 database	Extend to support any scenario, such as: Remove bad values Use first-party data Calculate the nearest store Predict gender Use a PII table
Build the Stitch QA database	Build the Stitch QA database Required queries: Bad foreign keys Cluster size distribution Common values Dedupe keys per Amperity ID Detailed examples Many Amperity IDs Many semantic values NULL Amperity IDs Split clusters Unmatched semantic values Optional queries: Cluster scores Connections across sources Foreign key validation General statistics, combined General statistics, separated Source cluster distribution Weakest match
Adding transactions and transaction attributes data sources, and then applying those changes to the Stitch process and to the customer 360 database
Understanding how transaction and transaction attributes data sources can be used in segmentation
Automating the end-to-end workflows