Interactive Kafka Streaming Processing & Visual Analytics Workshop – London

Peter Simpson is Vice President of Streaming Analytics for Datawatch and is responsible for driving the vision and strategy for Datawatch’s visual data discovery solutions. Peter joined Datawatch through the acquisition of Panopticon where he held the role of SVP Research & Development and had responsibility for product strategy, development, sales engineering, services, and helped to successfully expand the customer base to most top tier global financial institutions.
Prior to Datawatch, Peter was Product Manager at Instant Information, a provider of news analytics solutions to trading desks. He also held analytical roles at HSBC Global Markets within Technology, Equities and Research for several years. Peter holds a MSc in Info Systems Engineering and a BSc in Physics with Space Science & Technology.

 

This workshop is for people who want to develop a solid understanding of the capabilities of the Kafka low latency, high throughput platform and understand to make full use of those capabilities to monitor and analyse real-time operational data. Our focus will be on analysis of real-time electronic trading data for equities, fixed income, and foreign exchange, but the principles described apply to any industry that requires timely responses to anomalies and outliers in massive amounts of streaming data.

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Our experts will provide an introduction to visual analysis of complex trading activity streams using historic, intra-day and real-time streaming data managed by Kafka. By the end of the day, you will understand how to configure and connect to Kafka streams and build your own unique Streaming Analytics user interfaces focused on a variety of common use cases.

We will provide all participants with a laptop to use during the workshop, demo licenses and software they can use after the workshop to further develop their skills.

Date: Tuesday 30th October 2018

Time: Registration & Breakfast 09:00-09:30 | Workshop Sessions 09:30-17:00 | Networking Drinks 17:00 to 18:00 | Breakfast, lunch, and networking drinks included

Location: The Ned, 27 Poultry, London EC2R 8AJ

Cost: Free to qualified attendees

Prerequisites: No prior knowledge of Kafka or Panopticon needed, but you should have a solid grasp of your business challenges and the basic structure of your streaming data feeds.

Agenda:

09:00 – 09:30 Registration & Breakfast
09:30 – 10:45 Kafka Introduction
10:45 – 11:00 Break
11:00 – 12:30 Kafka HTML5 Visual Analysis
12:30 – 13:30 Lunch
13:30 – 15:00 Kafka Stream Processing
15:00 – 15:15 Break
15:15 – 17:00 Kafka Streaming Analytics
17:00 – 18:00 Drinks Reception

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