InfoQ Homepage NoSQL Content on InfoQ
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Ian Robinson discusses Service Evolution and Neo4J Feature Design
Ian Robinson discusses Neo4J's design choices for data storage and retrieval, CRUD operations, transactions, graph traversal and searches and HA deployment strategies. He also shares his thoughts on hypermedia controls and the concept of consumer driven contracts for continuous evolution of services.
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Michael Hunger on Spring Data Neo4j, Graph Databases, Cypher Query Language
In this interview, Michael Hunger talks about the evolution of persistence technologies over the last decade, the emergence of NoSQL databases, and looks at where graph databases fit in. He describes the goals behind the Spring Data Neo4j project, it's latest developments, and examines Cypher, a humane and declarative query language for graphs.
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Erik Meijer on Big Data, Types of Data Stores and Reactive Programming
Erik Meijer explains the various aspects needed to categorise data stores, how reactive programming fits in with databases, the return to data transformation, denotational semantics, and much more.
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Debasish Ghosh on Functional Programming, NoSQL
Debasish Ghosh talks about the advantages of functional programming and how its abstractions help to reason about code, Monads, DSLs, NoSQL and MongoDB, and much more.
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Robert Greene on Versant's Java NoSQL Solution and JPA 2.0 Support
In this interview recorded at QCon New York 2012 Conference, Robert Greene from Versant Corporation discusses Versant's NoSQL database and their JPA 2.0 compliant Java NoSQL solution. He also talked about transparency of data access across the physical nodes when using NoSQL databases.
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Ken Little on Scaling Tumblr
Ken Little talks about scaling Tumblr to keep up with their blogging users: scaling the data model, sharding, their PHP frontend and the Scala backend, and much more.
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Jim Webber on Neo4J and Graph Database Use Cases
In this interview recorded at QCon NY 2012 Conference, Jim Webber from Neo Technology discusses the Graph database ecosystem, graph use cases, and tools for developing applications using Neo4j graph database.
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Eric Evans on How Technology Influences DDD
Eric Evans shares his view on how the last trends in technology, such as NoSQL, functional languages, thick browser-based client, JSON and others, make him rethink some of the DDD concepts.
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Rich Hickey on Datomic, Data Storage, Functional Programming and Immutability
Rich Hickey explains how immutability enables Datomic's features and facilitates programming (not just in functional languages). Also: Datomic and other NoSQL stores, Clojure Reducers and much more.
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Rich Hickey and Justin Sheehy about Datastores, NoSql and CAP
Rich Hickey and Justin Sheehy talk about scalability and transactionability of datastores. They explain tradeoffs for achieving read and/or write scalability on top of Datomic and Riak.
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Mike Stolz on NoSQL and Big Data Design Patterns
In this interview recorded at QCon New York 2012 Conference, VMWare's Mike Stolz talks about the design patterns that help with processing and analyzing the unstructured data. He also explains the patterns for combining Fast Data with Big Data in finance applications as well as the role of in-memory databases in NoSQL database space.
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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.