InfoQ Homepage Database Content on InfoQ
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HBase @ Facebook
Kannan Muthukkaruppan overviews HBase, explaining what Facebook Messages is and why they chose HBase to implement it, their contribution to HBase, and what they plan to use it for in the future.
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Nokia: Lessons Learnt Migrating a Very Large and Highly Relational Database into a "Classic" NoSQL
Enda Farrell discusses how they ported Nokia’s places registry to NoSQL, the reasons, the complexity involved and the lessons learned along the way in terms of people, tools and data.
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Building Scalable Systems: an Asynchronous Approach
Theo Schlossnagle expresses his opinion on Big Data, NoSQL, cloud, system architecture and design, then he discusses the benefit of using asynchronous queues for building scalable systems.
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Membase NoSQL: Clustered by Erlang
Sean Lynch and Matt Ingenthron introduce Membase, detailing how they added clustering features in Erlang, what they built and what lessons they leaned along the way.
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LINQ, Take Two: Realizing the LINQ to Everything Dream
Bart De Smet presents LINQ’s origins, its current status, and plans for the future which include LINQ to Everything, plus discussions on theorem solving, reactive queries, and query optimization.
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Why I Chose MongoDB for guardian.co.uk
Mat Wall makes a journey through Guardian’s online history, outlining technologies used – Perl/CGI, CMS, J2EE, Oracle-, and explaining why they chose a NoSQL solution – MongoDB - and its advantages.
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Things Break, Riak Bends
Justin Sheehy talks about failure and the need to prepare for it, giving some real life examples along with techniques implemented in Riak to make it resilient to faults.
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Building Solid Distributed Applications with Haskell and Riak
Bryan O'Sullivan discusses the design considerations and types usage when building distributed systems with Haskell and Riak, starting from a case study of a system using vector clocks.
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Big Data in Real Time at Twitter
Nick Kallen discusses how Twitter handles large amounts of data in real time by creating 4 data types and query patterns -tweets, timelines, social graphs, search indices-, and the DBs storing them.
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NoSQL @ Netflix
Siddharth “Sid” Anand explains the technical details behind the move from Oracle used inside their data center to SimpleDB and S3 in the cloud, and from there to Cassandra.
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CouchDB and Erlang: Mobile and Flexible
Damien Katz and Volker Mische introduce CouchDB and explain why it is fit for mobile devices especially due to its replication capability that can handle network connectivity problems.
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OData Internals & Implementing Custom Providers
Azret Botash talks about OData’s internals, especially URI conventions, and demoes the creation of a custom provider.
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