Data Access and I/O Strategies for Batch Processing
Large scale batch processing often requires extreme levels of performance in both file I/O and data access. In this session, Rob presents a number of practical strategies for working with massive batch data sets.
Topics covered include: * Reading and writing flat files * Working with massive XML data sets * Mastering JDBC * Exploiting database features * Managing transactions * Designing APIs for performance * Common problem areas
About Rob Harrop
Rob Harrop is a respected speaker, author, entrepreneur and technologist.
As Lead Engineer of SpringSource dm Server, Rob is driving SpringSource's enterprise middleware product line and ensuring that the company continues to deliver high-performance, highly scalable
enterprise soutions. With a thorough knowledge of both Java and .NET, Rob has successfully deployed projects across both platforms. He has
extensive experience across a variety of sectors, in particular banking,retail and government. Prior to joining SpringSource, he co-founded UK-based software company Cake Solutions Limited and worked as Lead Developer for a successful dotcom start-up.
Rob is the author of five books, including Pro Spring, a widely acclaimed, comprehensive resource on the Spring Framework.
Rob is a member of the JCP and is involved in the JSR-255 Expert Group for JMX 2.0. Rob is an experienced, highly-sought after, technical speaker who can communicate complex topics in a way that any developer can understand. Over the past 3-4 years, Rob has also presented at JavaOne, QCon, AOSD, The Spring Experience, SpringONE, OSCon, and OreDev on a variety of topics to rave reviews.
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