InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Data Infrastructure @ LinkedIn
Sid Anand presents the architecture set in place at LinkedIn and the data infrastructure running Java and Scala apps on top of Oracle, Voldemort, DataBus and Kafka.
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Dynamo Is Not Just for Datastores
Susan Potter discusses Dynamo, Riak, distribution, consistency and fault tolerance, along with techniques and an example for building an application with riak_core.
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The Evolving Panorama of Data
Martin Fowler and Rebecca Parsons discuss how data has changed over the years, what is IT’s response to this change, and how data is used by organizations these days.
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Banking Case Study: Scaling with Low Latency using NewSQL
Jags Ramnarayan and Jim Bedenbaugh present the case of a bank who adopted SQLFire, covering the business requirements, the scalability issues, patterns used and the chosen solution.
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1,000,000 Daily Users and No Cache
Jesper Richter-Reichhelm shares the lessons learned while scaling their game platforms to handle millions of users, each game being built by small teams of two developers without dedicated ops.
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An Introduction to Doctor Who (and Neo4j)
Ian Robinson introduces Neo4J, a graph database, discussing how it can be used to store and work with data associated with Doctor Who.
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Distributed Data Analysis with Hadoop and R
Jonathan Seidman and Ramesh Venkataramaiah present how they run R on Hadoop in order to perform distributed analysis on large data sets, including some alternatives to their solution.
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Introducing RavenDB: NoSQL is Rapping at Your Door
David Neal introduces RavenDB, a document-oriented database with .NET, Silverlight, JavaScript and REST APIs.
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Panel: Hadoop for the Enterprise Architect
Peter Sirota, Amr Awadallah, Eric Baldeschwieler, Ted Dunning, Guy Bayes, and moderator Ron Bodkin discuss various existing Hadoop use cases, ecosystems, and disaster recovery.
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Transactions without Transactions
Richard Kreuter and Kyle Banker on how to avoid classical RDBMS transactional systems by using compensation mechanisms, transactional messaging or transactional procedures.
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Wrap Your SQL Head Around Riak MapReduce
Sean Cribbs explains what Map-Reduce and Riak are, why and how to use Map-Reduce with Riak, and how to convert SQL queries into their Map-Reduce equivalents.
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Polyglot Persistence for Java Developers - Moving Out of the Relational Comfort Zone
Chris Richardson shows how he ported a relational database to three NoSQL data stores: Redis, Cassandra and MongoDB.
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