InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Adopting Apache Cassandra
Eben Hewitt introduces the Apache Cassandra project to those interested in getting a quick clear picture of what Cassandra is, what are its main features, what is the the data model used and the API.
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Machine Learning: A Love Story
Hilary Mason presents the history of machine learning covering the most significant developments in the area, and showing how bit.ly uses it to discover various statistical information about users.
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Auntie on the Couch
Enda Farrell discusses how CouchDB is used by BBC, presenting the context, the operations performed against it, how replication and compacting works, some statistics, and how it is used at scale.
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Neo4j: NOSQL and the Benefits of Graph Databases
Emil Eifrem overviews the trends leading to NOSQL, and four emerging NOSQL solutions. He also explains the internals of a graph database and an example of using Neo4j – a graph DB - in production.
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Social Networks: Getting Distributed Web Services Done with NoSQL
Lars George and Fabrizio Schmidt present Germany’s largest social networks, Schuelervz, Studivz and Meinvz, the initial architecture, why it didn’t work and how they solved it with a NoSQL solution.
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Embracing Concurrency At Scale
Justin Sheehy explains the principles behind concurrent distributed systems: no global state, no ACID but rather BASE, no RPC but protocols over APIs, prepare for failure, degradation, measurement.
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Project Voldemort at Gilt Groupe: When Failure Isn't an Option
Geir Magnusson explains why Gilt Groupe is using Project Voldemort to scale out their e-commerce transactional system, what are the benefits and what is the current architecture after ditching SQL.
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Patterns for Cloud Computing
Simon Guest presents 5 cloud computing patterns along with examples and Azure solutions for scaling, multi-tenancy, computing, storage and communication.
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