Getting Started with Spark & Cassandra

Massively scalable, always on, and ridiculously fast.  Apache Cassandra is the database chosen by Apple, Netflix, and 30 of the Fortune 100 to power their critical infrastructure.  How do we analyze petabytes of data, whether it be massive batching or as it’s ingested via streaming with Apache Kafka?  Enter Apache Spark.  Challenging MapReduce head on, Apache Spark offers powerful constructs that make it possible to slice and dice your data, whether it be through machine learning, graph queries, as well as transformations familiar to people with functional programming backgrounds such as map, filter, and reduce.  Step away ready to rock with the most powerful distributed database, scalable messaging, and analytics platform on the planet.

[ziggyyy]

Very good presentation, it ended up addressing a lot of misconceptions of spark that i had. Thanks

[VaibhavYadav]

well presented.. good video to get a clear understanding of #Cassandra and #Spark combo

[yahyaheee]

Answered so many of my questions, Thanks

[chartrix]

Cool bro, thanks it help me a lot. 
I tried to use hadoop/pig to process data, but pig is very innestable, so i take the option of use  spark/cassandra, i work on fraude prevention, now  in migration to spark/cassandra. Where i can download the slides?. greetings

[marklit]

Is there a link to the slides available?