使用Hadoop构建实时和批量数据质量服务：藏经阁Griffin

The "藏经阁-Using Hadoop to build a Data Quality Service for both real-time and batch data" is a project aimed at using Hadoop technology to create a Data Quality Service that can handle both real-time and batch data processing. The project, known as Griffin, is led by Alex Lv, a Senior Staff Software Engineer at eBay. Griffin utilizes Hadoop's capabilities to efficiently process large amounts of data, ensuring the quality and accuracy of the information being analyzed. By utilizing real-time and batch processing, Griffin is able to provide timely and accurate insights for users. The project is open source, with the code available on GitHub for collaboration and contribution from the community. This allows for continuous improvement and development of the Data Quality Service to meet the evolving needs of users. The use of Hadoop in the Griffin project demonstrates the power of big data technology in ensuring data quality across various types of data processing. With its ability to handle both real-time and batch data, Griffin provides a comprehensive solution for organizations looking to maintain high-quality data for their analytics and decision-making processes. Overall, the Griffin project showcases the potential of Hadoop in building advanced data quality services that can meet the demands of modern businesses. Through collaboration and innovation, the project continues to evolve and improve, offering valuable insights and solutions for organizations seeking to optimize their data quality processes.