Webinar: Streaming Big Data with Spark, Spark Streaming, Kafka, Cassandra and Akka by Helena Edelson.
From the post:
On Tuesday, January 13 I gave a webinar on Apache Spark, Spark Streaming and Cassandra. Over 1700 registrants from around the world signed up. This is a follow-up post to that webinar, answering everyone’s questions. In the talk I 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, and their elegant integration together. 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.
Video | Slides | Code | Diagram
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About The Presenter: Helena Edelson is a committer on several open source projects including the Spark Cassandra Connector, Akka and previously Spring Integration and Spring AMQP. She is a Senior Software Engineer on the Analytics team at DataStax, a Scala and Big Data conference speaker, and has presented at various Scala, Spark and Machine Learning Meetups.
I have long contended that it is possible to have a webinar that has little if any marketing fluff and maximum technical content. Helena’s presentation is an example of that type of webinar.
Very much worth the time to watch.
BTW, being so content full, questions were answered as part of this blog post. Technical webinars just don’t get any better organized than this one.
Perhaps technical webinars should be marked with TW and others with CW (for c-suite webinars). To prevent disorientation in the first case and disappointment in the second one.