Please follow the instructions to install.
We as an industry are collecting more data every year. IoT, web, and mobile applications send torrents of bits to our data centers that have to be processed and stored, while users expect an always-on experience—leaving little room for error. Patrick McFadin explores how successful companies do this every day with powerful data pipelines built with SMACK: Spark, Mesos, Akka, Cassandra, and Kafka. You’ll learn how to organize a stream of data into an efficient queue using Apache Kafka; process the data in flight using Apache Spark Streaming and Akka; store the data in a highly scaling and fault-tolerant database using Apache Cassandra; transform and find insights in volumes of stored data using Apache Spark; and keep these resources working together with Mesos.
Patrick McFadin is the vice president of developer relations at DataStax, where he leads a team devoted to making users of DataStax products successful. Previously, he was chief evangelist for Apache Cassandra and a consultant for DataStax, where he helped build some of the largest and exciting deployments in production; a chief architect at Hobsons; and an Oracle DBA and developer for over 15 years.
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