Hi. two platforms (spark and ignite) use in memory for computing. instead of loading data into ignite catch we also can loading data to spark memory and catch it on spark node. if we could do this (catching on spark node) why we load data to ignite catch?. loading to ignite catch have benefit only for sharing rdd between spark jobs ad indexing query index.i want to integrate spark and ignite for deep learning platform. I want to use DL4J (deep learning 4 java) as platform for deep learning. I want to use dl4j in spark node and integrate spark node with ignite. Is there any speed up in this idea,?if i want to use ignite i can use ignite only for cache data for spark?or i can use spark and ignite as an engeen process simultaneously?
-- Sent from: http://apache-ignite-users.70518.x6.nabble.com/
