*BEFORE* you arrive onsite, please do the following:First: Download and install DataStax Enterprise here , which includes Apache Cassandra and Apache Spark. We’ll be using it to learn more about how each works. If you are running Windows, you’ll need to run it in a linux VM locally. Make sure the IP address of the guest is available to host.
Second: Check out the KillrWeather project from Github here . You can follow the README instructions to get it running.
Attendees should be familiar with concepts around data engineering. This tutorial uses Java and Python.
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 gives an overview of the powerful Team Apache: Apache Kafka, Spark, and Cassandra. Attendees will 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, and transform and find insights in volumes of stored data using Apache Spark.
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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