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Building Real Time Streaming App in under 10 Mins Without Writing any code

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.

Agenda:
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

Thursday, June 22, 2017
Hortonworks HQ: 5470 Great America Parkway, Santa Clara, CA