On Tuesday, January 13 Helena Edelson gave a webinar on Apache Spark, Spark Streaming and Cassandra. This is a follow-up post to that webinar, answering everyone’s questions. In the talk she introduced Spark, Spark Streaming and Cassandra with Kafka and Akka and discussed why these particular technologies are a great fit for lambda architecture due to some key features and strategies they all have in common. We walked through an introduction to implementing each, then showed how to integrate them into one clean streaming data platform for real-time delivery of meaning at high velocity. All this in a highly distributed, asynchronous, parallel, fault-tolerant system.