InfoQ Homepage Distributed Systems Content on InfoQ
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Chris Mattmann on Big Data Infrastructure for Scientific Data Processing
Chris Mattmann explains the type and magnitude of data produced in scientific projects like the Square Kilometer Array Telescope, the tools to use for scientific data processing and much more.
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Eva Andreasson on Hadoop and Java 8
Eva Andreasson speaks to Charles Humble about how Apache Hadoop works and how developers and BI teams in traditional enterprises can start to use it in their organisations, how garbage collection impacts Hadoop jobs, and what she is interested in in Java 8.
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Nathan Marz on Storm, Immutability in the Lambda Architecture, Clojure
Nathan Marz explains the ideas behind the Lambda Architecture and how it combines the strengths of both batch and realtime processing as well as immutability. Also: Storm, Clojure, and much more.
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Jeremy Pollack of Ancestry.com on Test-driven Development and More
Hadoop, the distributive file system and MapReduce are just a few of the topics covered in this interview recorded live at QCon San Francisco 2013. Industry-standard Agile implementation and a lot of testing, assures the development team at Ancestry.com that they have an app that can handle the large traffic demands of the popular genealogy site.
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Cliff Click on In-Memory Processing, 0xdata H20, Efficient Low Latency Java and GCs
Cliff Click explains 0xdata's H20, a clustering and in-memory math and statistics solution (available for Hadoop and standalone), writing H20's memory representation and compression in Java, low latency Java vs GCs, and much more.
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Dean Wampler on Scalding, NoSQL, Scala, Functional Programming and Big Data
Dean Wampler explains Scalding and the other Hadoop support libraries, the return of SQL, how (big) data is the killer application for functional programming, Java 8 vs Scala, and much more.
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Eva Andreasson on Hadoop, the Hadoop Ecosystem, Impala
Eva Andreasson explains the various Hadoop technologies and how they interact, real-time queries with Impala, the Hadoop ecosystem including Hue, Oozie, YARN, and much more.
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Interview with Barbara Liskov
Barbara Liskov keynoted at QCon London 2013 on the power of abstraction. Afterwards, InfoQ caught up with up with her to ask her about language design, modularity and distributed computation.
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Duncan Coutts on Parallelism and Concurrency with Haskell, Distributed Programming with Cloud Haskell
Duncan Coutts explains the nature of Concurrency and Parallelism in Haskell, its threading and STM implementation, Erlang OTP's influence on CloudHaskell for distributed programming, Monads, and more.
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Eli Collins on Hadoop
Eli Collins discusses Cloudera's CDH4 release, which tasks are well suited for Hadoop, Hadoop and MapReduce vs SQL, the state of Hadoop, and much more.
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Viktor Klang on Akka, Futures and Promises, Scala
Viktor Klang talks about the features of Akka 2.x and future releases, Akka's approach to fault tolerance, the effort to unify Futures in Scala, and the state of functional programming.
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Big Data Architecture at LinkedIn
In this interview at QCon London, LinkedIn’s Sid Anand discusses the problems they face when serving high-traffic, high-volume data. Sid explains how they’re moving some use cases from Oracle to gain headroom, and lifts the hood on their open source search and data replication projects, including Kafka, Voldemort, Espresso and Databus.
