InfoQ Homepage Architecture & Design Content on InfoQ
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Extending the Enterprise Data Warehouse with Hadoop
Rob Lancaster explains the steps made by Orbitz in order to bridge the gap between their data in the data warehouse and the data in Hadoop.
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Project Lambda in Java SE 8
Daniel Smith discusses Project Lambda including lambda expressions, default methods, and parallel collections to be soon part of Java SE 8.
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Big Data Problems in Monitoring at eBay
Bhaven Avalani and Yuri Finklestein discuss 4 aspects encountered at eBay when dealing with monitoring data: reduction of data entropy, robust data distribution, metric extraction, efficient storage.
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100% Big Data, 0% Hadoop, 0% Java
Pavlo Baron presents a big data case, a solution and the tools for collecting, mining and storing large amounts of data without using Hadoop or Java.
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NoSQL: Past, Present, Future
Eric Brewer takes a look at NoSQL’s history and considers what should be done so the current NoSQL solutions to evolve in order to address the full range of the application needs.
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Big Data, Small Computers
Cliff Click discusses RAIN, H2O, JMM, Parallel Computation, Fork/Joins in the context of performing big data analysis on tons of commodity hardware.
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Industry-oriented Cloud Architecture: Cloud Computing in Higher Education
Sukrit Sondhi discusses using Industry-oriented Cloud Architecture in Higher Education sector.
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Introducing Apache Hadoop: The Modern Data Operating System
Eli Collins introduces Hadoop: why it came about, the benefits it produces, its history, its architecture, use cases and applications.
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Rewriting GitHub Pages with Riak and Webmachine
Jesse Newland discusses how GitHub pages were re-written with Erlang, Riak and Webmachine in order to improve their performance.
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Architecting a RESTful Cloud - The Key to Elasticity
Jason Bloomberg explains the architectural requirements for Cloud-based applications and how REST can be used to achieve elasticity in the cloud.
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Petabyte Scale Data at Facebook
Dhruba Borthakur discusses the different types of data used by Facebook and how they are stored, including graph data, semi-OLTP data, immutable data for pictures, and Hadoop/Hive for analytics.
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