
This document provides a comprehensive overview of how to navigate and utilize the features of the Amorphic data platform. From searching the catalog to managing datasets and sharing information, the guide provides step-by-step instructions to efficiently handle data within the Amorphic ecosystem.
Welcome to the Amorphic Data Platform. Begin your journey with the catalog, where you can search for items of interest within the platform or across connected systems. For instance, you might search for the keyword "crash."

The search results will display all items containing the keyword "crash," allowing you to quickly filter and identify the specific information you are interested in.

For example, let's focus on domains within the platform.

Domains within Amorphic facilitate the creation of a medallion architecture by organizing data into raw, silver, and gold layers. This structure helps to systematically manage and segregate data.

Suppose you are interested in gold data; you might want to explore the Texas vehicle crash data.

Within the dataset, you can view its description, identify the owner, and examine the details of each column.

You will notice AI updates, which as the owner, you can approve or decline.

If further exploration of the data is desired, click on "view dataset" to proceed.

This action allows you to delve deeper into the dataset.

Here, you will find detailed information about the collected data, and understand where and how it is stored.

Additionally, you can review all activity logs, and under the Files tab, you can see a comprehensive list of files related to the dataset.

Amorphic enables you to preview the data without querying and offers the option to download files as needed.

The profile section provides metrics related to the dataset, while the lineage feature shows the evolution of the data over time.

It offers concise information about data sources, indicating how raw data progresses through cleansing and transformation processes, ultimately reaching the gold layer.

If you wish to share this data, the platform provides a straightforward method to do so.

You can select from a list of users to share the dataset with.

For instance, if you want to share it with Abigail, simply select their name.

If sharing with a department is necessary, that option is available as well.

You can classify the data as PI information and assign access levels such as full, editor, or read-only before clicking the share icon.

The process is that simple.

Datasets like these can power your dashboards.

Dashboards, such as those in QuickSight, are fully integrated with Amorphic and can be accessed directly.

Let's examine the Texas DMV dashboard.

Users can view dashboards directly from the Amorphic interface and share them with others.

For deeper insights, users can access Amorphic BI, which securely directs them to QuickSight.

Logging into QuickSight via Amorphic ensures a tight integration, allowing users to link their accessible data on Amorphic to build dashboards. Amorphic and AWS QuickSight Q also facilitate deeper data inquiries.

For example, you can ask about factors affecting crashes.

And further analyze by driver’s age.

The GenBI feature allows for natural language queries to quickly gain insights and generate visual data representations.

Users can also obtain summaries, demonstrating how a GenBI use case is efficiently built on Amorphic with a user-friendly and secure interface.

Thank you for using the Amorphic Data Platform.
