Imagine if you could build and deploy an end to end complex streaming analytics app on a streaming engine like Storm or Flink that did the following:
1. Joining Streams
2. Aggregations over Windows (Time or Count based)
3. Complex Event Processing
4. Pattern Matching
5. Model scoring.
Now imagine implementing and deploying this without writing a single line of code in under 10 mins.
Imagine no more; it is indeed here. In this talk, we will discuss an exciting open source project led by Hortonworks on building and deploying streaming applications using a drag and drop paradigm.
6:00 – 6:30 – Network and Socialize
6:30 – 7:00 – Use Case for developing next Gen Streaming Apps and Demo
7:00 – 7:30 – Streaming Analytics Manager Introduction
7:30 – 8:00 – Schema Registry