InfoQ Homepage Spring Batch Content on InfoQ
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High Performance Batch Processing
Mahmoud Ben Hassine and Michael Minella walk through performance tuning and scaling Spring Batch applications via the enhancements of 4.1.
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Case Study of Batch Processing with Spring Cloud Data Flow Server in Cloud Foundry
Bruce Thelen discusses how CoreLogic implemented a batch processing system on Pivotal Cloud Foundry with Spring Cloud Data Flow Server, Spring Task, and Spring Batch.
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Cloud-Native Batch Processing with Spring Batch 4
Michael Minella discusses what’s new in Spring Batch 4 and how to use it in a cloud setting.
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Get Off the Bus, Gus: 50 Ways to Leave Your Mainframe
Rohit Kelapure provides guidance and best practices in migrating monolithic mainframe apps and data including JCLs wrapped in CICS and IMS using Spring components like Spring Data Flow, Cloud, Batch.
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Building a Recommendation Engine with Spring and Hadoop
Michael Minella uses Spring XD and Spring Batch to orchestrate the full lifecycle of Hadoop processing and uses Apache Mahout to provide the audience with the recommendation processing.
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Spring Batch Performance Tuning
Gunnar Hillert and Chris Schaefer examine various scalability options in order to improve the robustness and performance of the Spring Batch applications.
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Introduction to Spring for Apache Hadoop
Thomas Risberg introduces the Spring for Apache Hadoop project and discusses integration with Spring XD, batch jobs and external data sources.
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Introduction to Spring Integration and Spring Batch
Gunnar Hillert and Gary Russell introduce Spring Integration and Spring Batch, how they differ, their commonalities, and how you can use them together.
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JSR-352: Batch Standardization
Wayne Lund introduces Java Batch JSR-352 explaining the domain and job specification languages used, the programming model and the runtime specification of the standard.
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Architecting Visa for Massive Scale and Continuous Innovation
John Davies examines Visa’s architecture and shows how enterprises have architected complex integrations incorporating Hadoop, memcached, Ruby on Rails, and others to deliver innovative solutions.
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Concurrent and Distributed Applications with Spring
David Syer and Mark Fisher on using Spring to develop concurrent and distributed apps, covering topics such as: asynchronous execution, intra-process, inter-process and inter-JVM communication.
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Automating Operations with Spring Batch and Spring Integration
Dave Syer and Mark Fisher demo using Spring Batch and Integration for real life situations where automation can save both operators and developers a lot of time by running automated batch jobs.