Amorphic accelerates the usability of data at scale with simplified single-pane-of-glass for self-service AWS data and analytics.
A walkthrough of how to set up an end-to-end ML Workload in Amorphic.
In this video, we talk about the various connectors that Amorphic offers, thus giving the ability to ingest Structured, Semi-Structured, and Un-Structured Data.
DataSets in Amorphic provide the capability for storing Structured, Semi-structured, and Unstructured Data.
The Workflows in Amorphic give you the ability to design and develop an end-to-end production-grade pipeline bringing elements of ML and ETL all under the same roof.
This video explains the access control of Amorphic Resources and Amorphic Services through Roles, Search and Domain-based Segregation of Resources.
This video talks about our Drag and Drop ETL tool called 'Morph'. Amorphic Data Lake Platform gives the non-developer also the ability to modify datasets.
Learn how Amorphic can help accelerate the data movement from your Source to Amorphic Data Lake using the BulkDataLoadV2 Connector