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Discover how to build a near real-time, multi-chain data lakehouse for anti-money laundering (AML) monitoring at petabyte scale in this 20-minute conference talk. Explore the complete end-to-end architecture that integrates cutting-edge open-source technologies and AI-driven analytics to seamlessly handle massive on-chain data volumes, complemented by off-chain intelligence to meet rigorous AML requirements. Learn about ChainStorage, an open-source solution originally developed by Coinbase that provides robust blockchain data ingestion and block-level serving, enhanced with Apache Spark and Arrow for high-throughput processing and efficient data serialization, backed by Delta Lake and Kafka. Understand how StarRocks delivers lightning-fast SQL analytics over vast datasets in the serving layer, and examine the implementation of machine learning and AI agents for continuous data curation and near real-time insights crucial for tackling on-chain AML challenges. Gain insights from CipherOwl Inc.'s practical experience in constructing this sophisticated financial intelligence infrastructure that serves as the backbone for next-generation financial monitoring systems.
