and are within 2% of today’s high. 23 Vasiliki Kalavri | Boston University 2020 Financial transaction analysis • Fraud detection, online risk calculation Example: Someone steals your phone and sings money or the activity is detected. • Features to detect fraudulent activity like this: • The transaction amount. • The number of recent (e.g. the last hour) transactions. • Whether money was sent to

edu Spring 2020 1/28: Stream ingestion and pub/sub systems Streaming sources Files, e.g. transaction logs Sockets IoT devices and sensors Databases and KV stores Message queues and brokers

structure 5 Edge events: A purchase, a movie rating, a like on an online post, a bitcoin transaction, a packet routed from a source to destination Vertex events: A new product, a new movie, a