Sneak preview of demo for Oracle Code events

I will be presenting at a number of the Oracle Code events over the coming months on the subject of…..(drum roll please) SQL pattern matching. Oracle Code is a great series of conferences dedicated to developers who want to get the absolute maximum benefit from using today's cutting edge technologies. If you want to register for any of the dates listed below then follow this link to the registration page.

North and Latin America

San Francisco
March 1, 2017

March 8, 2017

New York City
March 21, 2017

Washington DC
March 27, 2017

April 18, 2017

June 22, 2017

Sao Paulo
June 27, 2017

Mexico City
June 29, 2017
Europe and Middle East

April 20, 2017

April 24, 2017

April 28, 2017

May 22, 2017

June 6, 2017

Tel Aviv
July 11, 2017

New Delhi
May 10, 2017

May 18, 2017

July 14, 2017

July 18, 2017

August 30, 2017

August 4, 2017

Back to my session...the actual topic of my session is: Simplified and fast fraud detection. The overall aim of this session is to demonstrate the key benefits of using SQL row pattern matching techniques compared to using other programming languages. As part of the presentation I will be using live demos to review a specific use related to fraud detection where I will walk through the MATCH_RECOGNIZE clause and explain the concepts and keywords. The demo will use a simple five step framework to construct pattern matching queries.

I will aim to show how easy it is to write and amend SQL-based pattern matching queries as requirements change and the slide deck includes a link to the video from OpenWorld 2015 where we showed a sophisticated fraud detection application that used pattern matching and spatial to create an analytical mash-up that processed a data stream in real-time.
If you would like a sneak preview of the presentation and the demo then follow these links:
If you are planning to attend any of the above events then please let me know as it would be great to meet up and talk about your experiences with analytic SQL and, especially, pattern matching. Email is the usual address, or you can ping me on Twitter - @ASQLBarista.

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