Real-Time Intellectual Property Data Engineering Platform

Our enterprise company seeks to develop a data engineering platform tailored to the Intellectual Property industry. The focus is on building a real-time data processing system capable of harnessing and analyzing vast amounts of IP data from global patent and trademark repositories. By leveraging technologies such as Apache Kafka for event streaming and Apache Spark for large-scale data processing, the solution will provide real-time insights. Integration with tools like Airflow for data pipeline orchestration and Snowflake or BigQuery for scalable storage and analytics is essential. The platform will support data observability and event streaming, ensuring high data quality and reliability. The ultimate goal is to empower legal and R&D teams with timely, accurate insights for strategic decision-making, IP portfolio management, and competitive intelligence. The project also emphasizes scalability and adaptability to accommodate evolving data sources and regulatory requirements in the IP domain.