In this hands on workshop we will discover the advantages of big data analytics with Cassandra and Spark. We start with Spark Basics: setting it up, using the spark shell and building simple applications. After the basics will we use Spark to analyze data stored in a Cassandra database. We will also take a brief look into Spark MLLib, Spark Streaming and Spark SQL.
We will use an local Cassandra & Spark installation. For the training you should have laptop with a installed JDK (at least 6, better 8 to use lambdas) with at least 8 GB of memory. Cassandra and Spark both work on Windows but if you have enough memory you maybe want to use a Linux VM. Mac is also fine. As the time is limited we will not dig into Cassandra, so a basic Cassandra knowledge would be great. Furthermore you should have some Scala or Java skills.