MessageDrivenArchitectureWithSpring

November 16, 2010 @ 7:00pm – Message-Driven Architecture with the Spring Platform

Description

This presentation will provide a comprehensive overview of Spring’s support for eventing, messaging, scheduling, and batch processing. You will learn how these features provide a platform for message-driven architecture. Examples will include integration with JMS, AMQP, Web Services, email, instant messaging and more. You will also learn about Spring’s support for Hohpe and Woolf’s Enterprise Integration Patterns. This will include demos of several basic patterns such as Messaging Gateway, Message Transformer, and Message Router, as well as composite patterns such as Control Bus, Claim Check, and Scatter/Gather using Splitters and Aggregators. The examples will also cover different options for adding custom integration logic within the configuration-driven context. Those options include not only POJOs, but also Spring 3.0′s Expression Language and Groovy scripts.

Speaker

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Mark Fisher is an engineer within the SpringSource division of VMware and lead of the the Spring Integration team. He is also a committer on the core Spring Framework as well as the Spring AMQP and Spring BlazeDS Integration projects. In addition to his role as an engineer, Mark spends a significant amount of time working with customers as a consultant and trainer. The focus of such engagements is primarily in the realm of enterprise integration, messaging, and event-driven applications.

Mark is a frequent speaker at conferences and user groups in North America and Europe, and along with other Spring Integration committers, he is an author of the forthcoming book, “Spring Integration in Action”, to be published by Manning.

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AJUG Meetup

Large-scale Entity Extraction and Probabilistic Record Linkage

Tuesday, August 19, 2014

Large-scale entity extraction, disambiguation and linkage in Big Data can challenge the traditional methodologies developed over the last three decades. Entity linkage, in particular, is cornerstone for a wide spectrum of applications, such as Master Data Management, Data Warehousing, Social Graph Analytics, Fraud Detection and Identity Management. Traditional rules based heuristic methods usually don’t scale properly, are language specific and require significant maintenance over time.

We will introduce the audience to the use of probabilistic record linkage, also known as specificity based linkage, on Big Data, to perform language independent large-scale entity extraction, resolution and linkage across diverse sources. We will also present a live demonstration reviewing the different steps required during the data integration process (ingestion, profiling, parsing, cleansing, standardization and normalization), and show the basic concepts behind probabilistic record linkage on a real-world application.

Location:


Holiday Inn Atlanta-Perimeter/Dunwoody

4386 Chamblee Dunwoody Road,
Atlanta, GA (map)

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