---
title: "ETL and Data Warehouse (DWH)"
url: "https://cybernetica.kz/en/products/21-etl-i-hranilishe-dannyh-dwh"
description: "**ETL и хранилище данных (DWH)** **ETL (****Extract, ****Transform, ****Load) and DWH (Data Warehouse)** together form a key solution for companies seeking to build a reliable system for centralized storage, processing,..."
---
# ETL and Data Warehouse (DWH)

**ETL и хранилище данных (DWH)** **ETL (****Extract, ****Transform, ****Load) and DWH (Data Warehouse)** together form a key solution for companies seeking to build a reliable system for centralized storage, processing,...

## Categories
- Cybernetica for holdings
- Planning and consolidation
- Our Solutions and AI Integration / Cybernetica AI

## Description
**ETL и хранилище данных (DWH)**

**ETL (****Extract, ****Transform, ****Load) and DWH (Data Warehouse)** together form a key solution for companies seeking to build a reliable system for centralized storage, processing, and analysis of data from different accounting systems. The solution is implemented on the 1С platform or as a hybrid with external DBMS and BI tools, providing high scalability and performance.

The system can load, transform, and aggregate data from 1С, external databases, Excel, and other sources into a single repository for management, financial, operational, and statutory reporting. Automating data preparation eliminates manual-entry errors, accelerates decision-making, and makes the business more transparent.

**ETL and DWH** together provide a strategic solution for companies seeking to build a unified digital foundation for management analytics, BI, and reporting. It shortens data preparation time, improves accuracy, and automates the entire information workflow  -  from collection to decision-making.


**Features and capabilities**

    - **ETL processes**** (Extract, Transform, Load)**:


            - Loading data from any 1С database (ERP, ЗУП, Бухгалтерия, and others).

            - Support for loading data from external systems: Excel, SQL, API, and web services.

            - Flexible data transformation  -  merging, filtering, aggregation, and normalization.





    - **Configurable data processing pipelines**:


            - Graphical configuration of export/import scenarios without programming.

            - Pre-filtering, merging, and metric calculation capabilities.





    - **DWH (Data Warehouse) creation**:


            - Creating data marts for different business areas, including sales, finance, personnel, manufacturing, and others.

            - Historical data storage

            - Standardization of directories and classifiers, including MDM.





    - **Data consolidation**:


            - Automatic consolidation of data from different organizations, legal entities, and information databases.

            - Mechanisms for unifying structures and mapping registers, directories, and documents.





    - **Integration with BI and reporting systems**:


            - Ready for connection to Power BI, Qlik, Tableau, Excel PowerPivot, and others.

            - Building data marts for the specific requirements of BI tools.

            - Exporting reporting forms using predefined templates.





    - **Data quality control and validation**:


            - Checking information for correctness, completeness, duplicates, and consistency.

            - Error logs and load status reports.

## This service was used by:
- [Kipros](https://cybernetica.kz/en/clients/17-kipros)
- [KFP](https://cybernetica.kz/en/clients/30-KFP)
- [Alina Group](https://cybernetica.kz/en/clients/31-alina-group)
- [Самолет](https://cybernetica.kz/en/clients/61-samolet)

## Access for AI agents (MCP)

**Cybernetica MCP server:** `https://mcp.cybernetica.kz/mcp`

Connect this endpoint as an MCP connector in Claude, ChatGPT, Cursor, or another Model Context Protocol client for direct structured access to all company data — the product catalog, client cases, pricing, blog posts, and vacancies — with full-text search and no HTML parsing. Access is public, read-only, and requires no authentication.

The Markdown language is selected by the page URL: Russian has no prefix, Kazakh uses `/kk`, and English uses `/en`. Send `Accept: text/markdown` to that URL or pass its path to `/api/agent-markdown?pathname=...`. The public REST API accepts `?locale=ru|kk|en`; Russian is the default. The MCP server tools take the same optional `locale` argument: if a record has no translation into the requested language, it comes back in Russian with a note saying so.

### Other resources for agents
- [API catalog](https://cybernetica.kz/.well-known/api-catalog)
- [OpenAPI](https://cybernetica.kz/api/openapi.json)
- [LLMs.txt](https://cybernetica.kz/llms.txt)