BO / BONA / Technology / Use Cases

Media

Perfect Corp faced challenges in keeping up with frequent updates and processing large volumes of data in their AI-powered photo editing app. To address this, they implemented BONA, a real-time streaming video data platform. BONA allows non-SQL users to view result charts using a drag-and-select method, converting key-value semi-structured data into structured data in real-time. The system processes up to 3 million records per second, supports cluster and time-series queries, and enables users to drill down into individual user profiles. BONA facilitates rapid data dimension inspection, validation, and automatic cleaning of anomalous data, compressing data to one-seventh of its original volume. The results include dynamic real-time data with a transmission rate of 300,000 events per second, handling over 20 billion events daily, and a monthly data volume exceeding 5TB.

BO / BONA / Use Cases

Public Sector: Civil IoT Taiwan

The Taiwanese government’s Civil IoT project focuses on creating a digital infrastructure for environmental sustainability and resilience. Overcoming challenges of data silos and quality, the National Center for High-performance Computing, with BigObject collaboration, implemented a reliable data platform. The transformation includes standardized data formatting, enabling cross-dataset analysis, and real-time processing within seconds. Continuous data quality assessment is ensured through monitoring reports, marking a significant improvement from inconsistent formatting and lack of real-time processing in the initial phase.

BO / BONA / Use Cases

Public Sector: Transportation

The Ministry of Transportation and Communications (MOTC) faced challenges managing massive data from various platforms. With 100 billion records annually, poor speed and analysis inefficiencies hindered real-time data provision. They required a solution for consolidating diverse data, enabling real-time, complex processing, and conducting timely analyses. The implemented system successfully achieved these goals, allowing quick identification of problem areas, exploration of 2 billion records in seconds, and real-time data sharing. This optimization enhances transportation services, offering better customer experiences and supporting decision-making.