Sneak preview of demo for Oracle Code events
North and Latin America
San Francisco
,
March 1, 2017
Austin
,
March 8, 2017
New York City
,
March 21, 2017
Washington DC
,
March 27, 2017
Toronto
,
April 18, 2017
Atlanta
June 22, 2017
Sao Paulo
,
June 27, 2017
Mexico City
,
June 29, 2017
|
Europe and Middle East
London
,
April 20, 2017
Berlin
,
April 24, 2017
Prague
,
April 28, 2017
Moscow
,
May 22, 2017
Brussels
,
June 6, 2017
Tel Aviv
,
July 11, 2017
|
Asia
New Delhi
,
May 10, 2017
Tokyo
,
May 18, 2017
Beijing
,
July 14, 2017
Sydney
,
July 18, 2017
Seoul
,
August 30, 2017
Bangalore
,
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 keith.laker@oracle.com, or you can ping me on Twitter - @ASQLBarista.
- Demo: Simplified SQL for fraud detection: livesql.oracle.com - if you have never used LiveSQL then you can get more information here, it’s a fantastic service and it’s completely FREE
- Slides: Simplified and fast fraud detection is now available on the OTN SQL Analytics “Learn More” page.
Technorati Tags: Analytics, Conference, Data Warehousing, Database 12c, Pattern Matching, SQL
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