InfoQ Homepage Distributed Systems Content on InfoQ
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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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SQL on Hadoop - Pros, Cons, the Haves and Have Nots
Ted Dunning discusses the different options for running SQL on Hadoop including pros and cons.
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Getting Real with the MapR Platform
Jim Scott keynotes on the history of Hadoop, the difficulties that this technology has gone through, exploring the reasons why enterprises need to evaluate their targets and prepare for the future.
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Sweet Elixir! A Gentle Introduction to Erlang’s Cute Younger Brother Elixir
Ryan Cromwell introduces Elixir, a , functional distributed meta programming language inspired by Ruby and compiling to Erlang VM, covering pattern matching, pipelines and tail-call recursion.
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Finding the Needle in the Haystack - or - Troubleshooting Distributed Systems
Anthony Molinaro discusses the challenges of troubleshooting distributed systems and using Mondemand to track down issues with various services in a distributed system.
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Distributed Systems and the End of the API
Chas Emerick discusses some of the common issues appearing in distributed systems and ways to solve them.
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ZooKeeper for the Skeptical Architect
Camille Fournier explains what projects ZooKeeper is useful for, the common challenges running it as a service and advice to consider when architecting a system using it.
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Distributed Systems in Production
Jeff Hodges discusses tactics and strategy for creating distributed systems today and a little about what the future holds.
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The Game of Big Data: Scalable, Reliable Analytics Infrastructure at KIXEYE
Randy Shoup describes KIXEYE's analytics infrastructure from Kafka queues through Hadoop 2 to Hive and Redshift, built for flexibility, experimentation, iteration, testability, and reliability.
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The Next Wave of SQL-on-Hadoop: The Hadoop Data Warehouse
Marcel Kornacker presents a case study of an EDW built on Impala running on 45 nodes, reducing processing time from hours to seconds and consolidating multiple data sets into one single view.
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Finding the Needle in a Big Data Haystack
In this solutions track talk, sponsored by Cloudera, Eva Andreasson discusses how search and Hadoop can help with some of the industry's biggest challenges. She introduces the data hub concept.
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