Docs > Data Management > Extract Data
1. Getting Started with vuSmartMaps™
3. Console
5. Configuration
6. Data Management
9. Monitoring and Managing vuSmartMaps™
The Data Extraction module’s role is to update the destination (proxy and/or database) with the latest data from the data model. Jobs are set up for each signal ID or data model.
These jobs make sure there’s a constant few days’ worth of data available at the destination.
vuSmartMaps Data Extraction can be accessed by navigating from the left navigation menu (Data Ingestion > Data Extraction).
To create a new Data Extraction module, click on the + button.
Select Data Model: Choose a Data Model from the list for which the data needs to be extracted.
Destination: The extracted data can be stored in a tabular structure in 2 locations.
Note: You can enable both destinations at the same time.
Execution Frequency: It is the interval in which the data extraction job has to run for the given source.
Save: Click on Save at the top right of the window and complete the creation of a Data Extraction Module.
To edit a Data Extraction profile, simply click on the Edit button associated with the specific module.
Deleting a Data Extraction profile is straightforward. Locate the profile you want to remove, and in the Action column, click the Delete option.
To delete multiple profiles at once, simply select the profiles you want to remove by checking the boxes on the left, and then click the Delete button at the top right.
It’s crucial to use strategies that prevent system overload for very large datasets.
Ensure your destination systems (e.g., Proxy Store or in-house database) are optimized for handling large data volumes with sufficient storage and processing capacity.
Yes, you can configure your data extraction process to store data in both a proxy store and an in-house database. Follow these steps:
This dual-storage setup ensures redundancy and availability across different platforms.
To keep your data current, configure the execution frequency of your data extraction jobs to match your requirements. Follow these steps:
Adjust as Needed: If data latency is detected, adjust the frequency settings or optimize the data extraction process to improve performance.
Once a data extraction profile is deleted, it cannot be recovered. Double-check selections before confirming deletions.
First, check the job’s configuration and ensure the execution frequency is set correctly. Verify there are no errors in the Data Model or destination settings
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