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Big Data/AI

INBREIN has extensive experience in Microsoft Data Warehouse projects and holds our proprietary UDAS solution in the Big Data field. We actively conduct R&D in AI to meet market demands and have Microsoft Azure ML experts.

Big Data - Azure Data Services


  • Features of Azure DW
    • Improved workload management
    • Significantly enhanced security
    • Tool support for administrators and developers
    • Easy tuning for schema optimization
    • Powerful analysis tools provided
    • Convenient query performance resolution
Microsoft Azure Data Services architecture diagram



Big Data - UDAS Architecture


  • UDAS Solution
    • Reduce cost and complexity of traditional methods
    • Reduce the time to develop big data analytics systems
    • Simplify the entire analysis process
    • Build a server analytics system
UDAS Big Data analytics solution technical composition diagram



AI Solutions


  • AI Solution
    • Cloud and Open Source with optimized technology
    • Automation, cost efficiency, and more
    • Application across various industries based on IT experience
INBREIN cloud and open-source AI solution architecture diagram

Frequently Asked Questions (FAQ)

Q. What technologies and solutions power INBREIN's Big Data & AI services?
A. We leverage Microsoft Azure Data Services (Azure DW), Azure Machine Learning, our proprietary UDAS (Unified Data Analytics Suite) solution, and Generative AI platforms (such as iBx ChatGPT).

Q. What are the benefits of adopting the UDAS architecture?
A. UDAS reduces the high cost and complexity of traditional big data methods, simplifies the end-to-end analytics process, and significantly shortens the development time of big data analytics systems.