Based on our track record and experience in data migration, we will carry out software development that focuses on the key points.
We would like to introduce the "Data Migration of IoT Communication Devices" conducted by Second Selection. Since system upgrades are not performed frequently, those responsible for system migration may have a rich understanding of information systems but may not have experience with data migration. Our company conducts software development that accurately addresses key points based on our achievements and experience in data migration. If you are having trouble with data migration, please contact us through the form linked below. 【Details】 ■ Addition of data migration features due to software version upgrades ■ Support for reading data from past models and addition of data conversion functions for new models ■ Structural design, implementation, and unit/integration testing of data conversion *For more details, please refer to the related links or PDF materials, or feel free to contact us.
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basic information
Data migration refers to the process of transferring data between different types of devices, software, systems, or data formats. There may be differences in data structure depending on the version. *For more details, please refer to the related links or PDF materials, or feel free to contact us.*
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For more details, please refer to the related links or PDF materials, or feel free to contact us.
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Company information
Founded in 2007, primarily engaged in control system software development. In recent years, we have been involved in cloud development due to current trends. We focus on IoT software development and undertake commissioned development of software for embedded devices directly from major companies. Since 2019, we have also been focusing on improving business efficiency through data utilization and software implementation, supporting our clients in solving their challenges. We address customer issues with a one-stop solution across the following three layers: Edge layer (data collection) Cloud layer (data storage, visualization) Data utilization (guidance for business challenges)