Building Real time streaming app in under 10 mins without Writing any code

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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