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Email
office@r-szoft.huAddress
Hungária Malomudvar, 1095 Budapest, Soroksári út 48. 8. épület 2. emelet
As part of this strategic initiative, our specialized team was integrated into the core development effort of an enterprise-grade smart electricity metering platform designed to serve diverse international utility providers. Leveraging our technical expertise in distributed systems, we made significant contributions to multiple critical components, including the development of robust RESTful APIs, custom data integration adapters, and a scalable Big Data ecosystem for processing and analyzing the massive volumes of time-series data captured by the metering infrastructure. Additionally, we played a key role in architecting and implementing essential registry system functions and modules that ensure data integrity, compliance with international standards, and seamless system administration.
Our team was strategically integrated as a specialized development unit within an established, enterprise-scale project organization, where we focused primarily on implementing critical change requests and developing high-value new features. Successfully navigating the intricate, multi-layered software ecosystem and effectively implementing cutting-edge Big Data frameworks presented substantial technical and organizational challenges. We systematically addressed these complexities through comprehensive architectural analysis, structured knowledge acquisition, and establishing efficient cross-team collaboration protocols. This methodical approach enabled us to rapidly achieve operational effectiveness and deliver measurable value to the project.
Our team continuously enhances the platform through the development of innovative features and mission-critical modules, while simultaneously driving systematic performance optimization initiatives. A particularly significant technical achievement has been our implementation of comprehensive automated testing frameworks for individual system components, substantially increasing the reliability and security of production releases. By leveraging advanced Big Data technologies and distributed computing architectures, we ensure the efficient processing, storage, and real-time analysis of massive volumes of time-series measurement data generated by millions of smart meters across multiple geographic regions.
Contact us with your Big Data and data analysis projects!
The R-Szoft team has significant experience in developing complex data processing systems. By applying Big Data technologies, we are able to efficiently handle and analyze large volumes of data, enabling our clients to make data-driven decisions.
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