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Private and Open Data in Asia: A Regional Guide.
We as an industry are collecting more data every year. IoT, web, and mobile applications send torrents of bits at our data centers that have to be processed and stored. In addition, users expect an always-on experience, with little room for error. Numerous successful companies are doing this every day, and I can show you how.
In this tutorial session, we will cover the powerful Team Apache: Apache Kafka, Spark, and Cassandra. 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. 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. Topics we will discuss:
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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