Raw data entity provided a user-friendly UI for user to configure the raw data from external sources. User can create their own raw data by establishing connection to external sources or by uploading csv files from local storage. Once the data is successfully extracted and stored in Data Analytic storage, Data scientist explore the data using specialized methods and visualize it through charts to gain insights. After acquiring all the necessary information for the experiment, they are ready to proceed to the next steps of training ML models.
Clicking on one of Data models will redirect the user to a screen lists all raw data associated with that particular “Data model”.
Below table show the description of raw data configurable items.
Configurable Items | Description | |
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Upload | Choose File | Select a file from user local storage. The file should be in CSV format |
Query DB | DB Type |
Select type of database server:
|
Connection String |
This provides the necessary information to establish a connection with the server. For format of a SQL Server connection string, refer to: https://www.connectionstrings.com/sql-server/ |
|
Query String | Query to retrieve data from an external database | |
Asset Health | Subscription | Subscription of DM includes assets with associated data |
Project | DM project encompass asset with associated data | |
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Asset from DM that contain data | |
Start Date | Specify a point in the past to indicate the starting point for data retrieval | |
End Date | Specify a point in the past to indicate the ending point for data retrieval | |
Interval |
Convert time interval
|
|
Aggregation | Aggregate the original data if the interval is not set to none. | |
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Asset attributes utilized for data retrieval | |
Data structure | Type |
Convert time interval
|
Data Type |
Type of data columns:
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