📄️ Domains
Every Dataset is registered to a Domain. This Domain can be referred as a type of Business/Industry/Purpose or some other type of specification, this helps to maintain and segregate data between different Datasets.
📄️ Tenants
Amorphic supports multi-tenancy which helps to segregate organizational data and manage multiple tenants within the Amorphic infrastructure. Multi-tenancy means that a single instance of the software serves multiple customers, each customer being a tenant. In this architecture, multiple groups of users share the same environment but their data is stored in separate databases and is logically isolated from each other. Currently, Amorphic's multi-tenancy environment is supported in Redshift type data lake only.
📄️ Libraries
Libraries are additional packages supported for services in Amorphic.
📄️ Parameters Store
Store for credentials, secrets and other sensitive data
📄️ Templates
Documentation for Templates in the Amorphic
📄️ ML Models
Prepared models to use on top of data
📄️ Insights
Insights allow users to monitor Jobs, Schedules, DataPipelines, DataMetrics, and Bulkload Dataflow Runs, providing a quick view of the status of the last 10 executions.
📄️ Code Repositories
Storage of source code in Amorphic
📄️ Data Labs Lifecycle Configurations
Lifecycle configurations provide shell scripts that run only when user creates a Data Lab(of notebook type) or starts one.
📄️ Data Classifications
Documentation for Data Classification in the Amorphic
📄️ Train SQL AI
Training Data providing utility to configure and sync source knowledge base for SQL AI.