In one of the in-class exercises the concept of event streaming architectures was introduced. These architectures focus on the use of data streams of events. One can consider these systems to be composed of producer, consumer, and data filtering components connected by event- steaming connectors as shown below as cylinder shapes labeled with the type of data that is being transported. Augmentation Archive Data source Raw data Aggregation Data source Real-time analysis Totals Monthly report Results Anomaly detector For this event-streaming composite connector create a connector-dimension-value table, as shown below, that characterizes a typical event-streaming connector as a composition of event and streaming connector characteristics. A good source of information on event- streaming architectures is chapter 2 of Dunning et al book on Streaming Architecture New Designs Using Apache Kafka and MapR Streams1 a. Connector Tvpe Dimension Value In one of the in-class exercises the concept of event streaming architectures was introduced. These architectures focus on the use of data streams of events. One can consider these systems to be composed of producer, consumer, and data filtering components connected by event- steaming connectors as shown below as cylinder shapes labeled with the type of data that is being transported. Augmentation Archive Data source Raw data Aggregation Data source Real-time analysis Totals Monthly report Results Anomaly detector For this event-streaming composite connector create a connector-dimension-value table, as shown below, that characterizes a typical event-streaming connector as a composition of event and streaming connector characteristics. A good source of information on event- streaming architectures is chapter 2 of Dunning et al book on Streaming Architecture New Designs Using Apache Kafka and MapR Streams1 a. Connector Tvpe Dimension Value