OSGi

December 16, 2008 – OSGi

Description

OSGi is a Java-based component architecture that has gained a lot of traction recently. It is simple, provides dynamic updates of components and supports working with different versions of the same JAR or component. OSGi is used to build complex applications like Eclipse, application servers (GlassFish, IBM Websphere, OpenEJB, Oracle/BEA Weblogic, Jonas, JBoss), application frameworks (Spring, Guice), and more. We will discuss the following topics:

• The basic OSGi architecture (bundles, manifests and services)
• OSGi Implementations (Equinox, Felix, Knopflerfish)
• Concrete Uses of OSGi (Eclipse, …)
• Developing OSGi Bundles (Eclipse PDE, Maven, PAX-tools, …)
• OSGi Examples

Speaker

Felix Mayer is a German national living in Atlanta since 1996. He has been working with Java/J2EE for over 10 years and with relational databases for over 15 years, mostly in the mobile telecom area. He is currently with ERDAS, working on an enterprise GIS (Geospatial Information System). He is author of the ObjectAid UML Designer ([http://www.objectaid.com]), a free easy-to-use Eclipse plug-in to create UML class diagrams from existing code.

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Posted in Meetings, Uncategorized
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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