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.
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.
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.
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.
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.
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.
Stuart Halloway explains Datomic, programming transactional behavior with Datomic, Datalog and logic programming, programming with values, Clojure Reducers and much more.
Max Sklar talks about machine learning at Foursquare, the use of Bayesian Statistics and other methods to build Foursquare's recommendation system and much more.
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.
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.
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.
Rich Hickey explains the ideas behind the Datomic database: why Datalog is used as the query language, the functional programming concepts at its core, the role of time in the DB and much more.
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- 10 Things Developers Should Know about Couchbase
- When one is better than two: Collapsing data management layers for scalability and simplicity
- Couchbase NoSQL @ Tunewiki : A billion documents and counting
- The Essential Couchbase APIs Cheat Sheet
- Why MySQL 5.6 is no real threat to NoSQL
- How to Move from MySQL to Couchbase Server 2.0: Part 1
- Making Sense of NoSQL
- Couchbase in Action – Real world app demo
- Making the Shift from Relational to NoSQL