This article presents a model for orchestrating data extraction, processing, and storage, addressing the challenges posed by diverse data sources and increasing data volumes. The proposed model includes three primary components: data production, data transfer, and data consumption and storage. Key architectures for data production are explored, such as modular designs and distributed processes, each with advantages and limitations regarding scalability, fault tolerance, and resource efficiency. A buffering module is introduced to enable temporary data storage, ensuring resilience and asynchronous processing. The data consumption module focuses on transforming and storing data in data warehouses while providing options for parallel and unified processing architectures to enhance efficiency. Additionally, a notification module demonstrates real-time alerts based on specific data events, integrating seamlessly with messaging platforms like Telegram. The model is designed to ensure adaptability, scalability, and robustness for modern data-driven applications, making it a versatile solution for effective data flow management.

This article offers a conceptual overview and functional analysis of the author’s web-based application LolyDash, a tool for managing personal finances through structured dashboards for expenses, income, notes, and group fundraising. The main features of the system, its advantages over traditional financial tracking solutions, visual analytical tools, and categorization and planning mechanisms, and its integration capabilities via webhook are described. This article argues for the need for modern digital tools for financial literacy in the context of the growing complexity of personal financial management. This article examines the concept of a web-based financial diary that integrates functionalities for managing expenses, income, financial notes, and group payments within a single information system. The main components of the system, its advantages over traditional financial management methods, and the potential for future development through the integration of artificial intelligence are analyzed.

The strengthening link between universities and industry continues to strongly impact business processes and improve regional policies. Good results require the The strengthening link between universities and industry continues to strongly impact business processes and improve regional policies. Good results require the

Waste management is an essential part of sustainable development and environmental protection