With all the activity going on in your network devices, it can be extremely hard to filter out the bad from the good. How can you quickly and effectively distinguish a network intrusion attempt from an expected and authorized event? A great approach for getting in front of those attacks involves the use of big data technologies for predictive analytics. By analyzing all your network event data with Apache Hadoop and Apache Spark, you can build models that identify “normal” behavior as well as anomalous behavior. The anomalies signal potential security threats, and using Hadoop/Spark gives you the high performance and scalable platform to more accurately alert you to take action.