InfoQ Homepage Architecture & Design Content on InfoQ
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My Three Ex’s: A Data Science Approach for Applied Machine Learning
Daniel Tunkelang focuses on the data science mindset for successfully applying machine learning to solve problems: express, explain, experiment.
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Samza in LinkedIn: How LinkedIn Processes Billions of Events Everyday in Real-time
Neha Narkhede of Kafka fame shares the experience of building LinkedIn's powerful and efficient data pipeline infrastructure around Apache Kafka and Samza to process billions of events every day.
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Mantis: Netflix's Event Stream Processing System
The authors discuss Netflix's new stream processing system that supports a reactive programming model, allows auto scaling, and is capable of processing millions of messages per second.
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High Throughput Stream Processing with ACID Guarantees
Terence Yim from Continuuity showcases a transactional stream processing system that supports full ACID properties without compromising scalability and high throughput.
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Painless Build and Deploy for YARN Applications with Spring
Janne Valkealahti shows how Spring provides a simple programming model to develop applications that can easily be tested and deployed as either a YARN application or a traditional application.
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Spring XD - A Guided Tour
The speakers explore the role of ZooKeeper, Spring Integration, and Spring Boot through beautiful panoramas, code samples, and demonstrations.
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Implementing the Lambda Architecture with Spring XD
Carlos Queiroz introduces the lambda architecture and showcases how it can be implemented with SpringXD, GemFireXD and Hadoop in a CDR(Call Detail Record) mining application.
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Spring XD for Real-time Hadoop Workload Analysis
The authors explain how the Pivotal team leveraged familiar SQL-based queries to analyze fine-grained cluster utilization using Spring XD.
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Leading a Healthcare Company to the Big Data Promised Land: A Case Study of Hadoop in Healthcare
Mohammad Quraishi presents implementing a Big Data initiative, detailing preparation, goal evaluation, convincing executives, and post implementation evaluation.
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Spring Boot and Netflix OSS
The authors present basic concepts about Spring Boot and Netflix OSS software and how to integrate Netflix OSS technologies into Spring Boot.
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Building Reactive Applications with Reactor and the Reactive Streams Standard
The authors introduce the Reactive Streams project, demonstrating how to build applications that can connect to other Reactive Streams implementations in a completely non-blocking way.
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Develop Powerful Big Data Applications Easily with Spring XD
The speakers show how to provide a scalable runtime environment, that is easily configured and assembled via a simple DSL.
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