大规模加密：构建高性能实时区块链数据平台、.pdf

1、Real-Time Crypto Data Intelligence at ScaleBuilding a High-Performance Platform for Real-Time Blockchain DataMatthew MoorcroftDatabricksFerran CabezasEllipticAgendaConfidential-not for sharing0104Business LandscapeOptimizing Streaming jobs0206History of the Elliptic PlatformBest Practices0307Enablin

2、g User-Facing AnalyticsKey Takeaways3Confidential-not for sharing4Business landscapeConfidential-not for sharing5Business LandscapeRisk Management ProductsWallet and transaction assessment of Risk for:oSource of FundsoDestination of FundsPowered through Elliptic Entity GraphAssessing risk in crypto

3、is a hard problem:oBlockchain entities are fuzzyoIt must be in Real Timeo50+different BlockchainsConfidential-not for sharing6Business LandscapeGraph Visualisation ProductSingle-click cross-chain investigations to uncover illicit activity.Powered through:oElliptic Entity GraphoUser-Facing AnalyticsU

4、ser-Facing Analytics:o70%of our Platform costsoRequires lots of query filters on historical dataConfidential-not for sharing7History of the Elliptic PlatformConfidential-not for sharing8History of the Elliptic PlatformPrevious Elliptic Platforms20222023Previous Elliptic Platforms20152025.20242021Dat

5、abricks EllipticConfidential-not for sharing9History of the Elliptic PlatformDynamoDB as a source of truth for User-Facing Analytics DynamoDB as a source of truth for Entity Graph and User-Facing Analytics20222023Previous Elliptic Platforms20152025.20242021Databricks EllipticConfidential-not for sha

6、ring10History of the Elliptic PlatformDynamoDB as a source of truth for Entity Graph and User-Facing Analytics History of the Elliptic PlatformThe Entity Graph pipeline proved to be scalable and efficientThe User-Facing Analytics pipeline had some challengesSpark was used to run the historical backf