In this talk, it’s all about streaming or “data in motion” as we like to call it. Getting meaningful insights from your data is hard, getting them on time is even harder. This is where streaming analytics comes into play. We will cover a typical streaming deployment that will use Apache NiFi to fetch, transform, and filter the data. Then leverage Apache Kafka to safely queue it up, and to subsequently analyze it in real-time with Spark Streaming.