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The algorithm of working with EGRN data has been improved

  • Team
  • July 15, 2025
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The information system cGIS Pro Registers has a built-in module for processing information from the Unified State Register of Real Estate (EGRN), which is received as XML. We have updated the data analysis algorithms, which made it possible to process files larger than 1 GB. Examples of such files can be cadastral plans of the territory of large municipal districts.

EGRN is a source of up–to-date information about real estate objects. However, as practice has shown, a justified solution is to maintain its own register of land plots, buildings and zones, which is updated according to the EGRN. Users usually receive this information online or through the Interagency Electronic Communication (SMEV) system.

Using your own registry of EGRN objects has a number of advantages:

1. Reliability and stability. Our own registry ensures stable data management, minimizing the risks of technical failures or delays that may occur when using online services.

2. Extended set of attributes. You can keep a list of attributes necessary for solving specific tasks in your own registry. In addition, it can include objects that are not registered on the cadastral register.

3. The ability to work offline. When using your own registry, it is possible to work with data even when there is no Internet access. This is especially important when operating isolated systems.

4. Quick access. When working with the registry, you can get the necessary information much faster than when requesting it online. In addition, you can process and analyze data for many objects at once. This is especially important in situations where an expeditious solution is required.

5. Saving the revision history. The archive of accumulated information allows you to analyze the changes that have occurred with objects in the past.

The use of lists of EGRN objects as part of the cGIS Pro Registries information system can be especially useful for specialists working with real estate data from large enterprises, as well as for state and municipal authorities. This ensures more efficient and reliable operation.

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