Smart Data Ukimet
- Customer
- "National Information Technologies" JCS
- Project manager on the customer side
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- IT Provider
- National Information Technologies
- Year of project completion
- 2024
- Project timeline
- September, 2022 - October, 2024
- Project scope
- 20000000 subscribers
- Goals
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The main goal of the project is to create a unified data processing, analysis and visualization platform to support data—based decision-making in government organizations. The project is aimed at increasing transparency, efficiency and efficiency in government processes through the integration of advanced data analysis technologies and ensuring high-level information security.
- Project Results
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The project has brought significant results, including:
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More than 100 databases of information systems of state bodies are connected,
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The provision of 30 proactive state services has been implemented
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Improve the quality and speed of data-based decision-making through quick access to up-to-date analytics.
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Optimization of the work of government organizations (GO) by automating the processes of data processing and analysis.
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Development of an architecture that allows processing large amounts of data (Big Data) and integrating various data sources with high efficiency.
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The uniqueness of the project
The Smart Data Ukimet project is unique for its integration of advanced data processing and analysis technologies to support government decision-making. The project combines innovative approaches to big data management using tools such as Apache Flink, Apache Kafka, and cluster databases (ClickHouse and Greenplum) to create a comprehensive data analysis platform. A special feature of the project is deep integration with the BI system (Apache Superset, Metabase, Grafana) for data visualization and analytics, as well as ensuring data security and authentication using Keycloak and FreeIPA.
- Used software
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The project utilizes cutting-edge technologies such as Big Data analytics, digital IDs, digital signatures, data warehousing, and BI visualization. These tools are used to assess family well-being, track vulnerability indicators, and automate the delivery of government support services.
- Difficulty of implementation
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The project was difficult from a technical and organizational point of view. The main challenges included:
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Integration of heterogeneous data from a variety of government databases with different formats and structures.
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IT infrastructure management, including clustering with Kubernetes and configuring CI/CD processes for automated deployment.
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Configuring and optimizing ETL processes using Apache Air flow and Pentaho DI for efficient big data processing.
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Ensuring security and compliance with legal requirements, including data encryption (TLS), multi-factor authentication (OAuth, OpenID Connect), as well as configuring cluster databases and S3 storages.
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- Project Description
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The Smart Data Ukimet project is a system aimed at improving and optimizing data management for forecasting and monitoring various aspects of the environment, such as weather, climate change and other environmental parameters. The main goal of the project is to use advanced data analysis and artificial intelligence technologies for more accurate and efficient forecasting, which can help in making informed decisions for various industries, including agriculture, energy and transport.The project may include collecting data from various sensors, processing and analyzing them using machine learning to create accurate forecasting models and provide real-time analytics.
- Project geography
- The Smart Data Ukimet project covers the entire territory of the Republic of Kazakhstan, providing access to analytics and reporting for government agencies across the country. This includes support in key regions and cities to ensure uniform coverage and improve public administration efficiency.