Java and Data Mashups: Bridging the Web 2.0 Information Gap

Abstract

In today's open source projects and enterprises most data integration projects never get built. The ROI on these projects is simply too low. Companies can't justify bringing expensive ETL and EAI software to solve small problems. Some of the projects are built using work-arounds and custom coding. The result is prone to operational risk, high maintenance costs, and is inevitably inefficient. As the momentum for the new class of SOA middleware continues to grow, developers are looking for simple yet scalable (read quick and dirty solutions that can integrate Linux-based data with a variety of on-demand and Web 2.0 information sources and applications. In this session, Alex Khizhnyak, Apatar Evangelist and co-founder of Belarus Java User Group, will explore how developers and enthusiasts can leverage the existing Linux-driven open source mashup technologies to build and deploy enterprise data mashups. This session will highlight challenges preventing the existing mashup design tools from being leveraged by Java developers. This session will focus on tips, best practices, and strategies on how to implement Java-based data mashups between on-premise, on-demand, and Web 2.0 systems and applications.

Take-aways:

After this session you will:
1. Understand the impact of data mashups on the open source ecosystem.
2. Find out how to select mashup technologies and tools for your data integration project.
3. Discover best practices for leveraging these tools and solving most common challenges.