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Data and integrations

MongoDB Data in documents

MongoDB stores data in a document model. It allows you to represent records with nested structure and design them around the reading method.

See Application
Technology / MongoDB
Document data

First, the project's goal.
Then the right tool.

From Opportunities to Practice

Where can MongoDB help?

A product catalog with different sets of parameters may store the product description together with its characteristics.

This is an example of the application scenario. The scope of the project and the choice of technology are determined on the basis of the needs of the company.

A Conscious Choice

What should be taken into account before implementation?

A flexible structure does not mean that there is no data model. It is necessary to establish validation, the relationship and how to update repeated information.

Content, technology and recipient

Content data of the website

The search engine does not read a private database like the app. It needs public pages that present data in an understandable context. We are therefore designing a way of publishing, updating and connecting records with addresses. Reliable content and described sources are also important for AI applications.

Structural data on the website

Documentation and further reading

The description of the possibilities is based on project documentation. Before implementation we check the requirements of the selected version and compliance with other elements of the service.

From idea to plan

Technology is meant to serve
Your company.

Let's talk about a website, app or integration.

Tell me about the project