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Debasish Ghosh on Functional Programming, NoSQL

Interview with Debasish Ghosh Follow 0 Followers on  Oct 26, 2012 3

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

Interview with Robert Greene Follow 0 Followers on  Oct 17, 2012 1

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

Interview with Ken Little Follow 0 Followers on  Sep 24, 2012

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

Interview with Jim Webber Follow 0 Followers on  Sep 14, 2012 2

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

Interview with Eric Evans Follow 2 Followers on  Sep 12, 2012 1

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

Interview with Rich Hickey Follow 15 Followers on  Sep 10, 2012 1

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.

Data Science Follow 209 Followers

Rich Hickey and Justin Sheehy about Datastores, NoSql and CAP

Interview with Rich Hickey Follow 15 Followers , Justin Sheehy Follow 0 Followers on  Aug 03, 2012

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

Interview with Mike Stolz Follow 0 Followers on  Jul 27, 2012

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.

Architecture & Design Follow 471 Followers

Big Data Architecture at LinkedIn

Interview with Sid Anand Follow 0 Followers on  May 14, 2012 1

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.

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Rich Hickey on Datomic: Datalog, Databases, Persistent Data Structures

Interview with Rich Hickey Follow 15 Followers on  Apr 04, 2012

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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Attila Szegedi on JVM and GC Performance Tuning at Twitter

Interview with Attila Szegedi Follow 0 Followers on  Feb 09, 2012 3

Attila Szegedi talks about performance tuning Java and Scala programs at Twitter: how to approach GC problems, the importance of asynchronous I/O, when to use MySQL/Cassandra/Redis, and much more.

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Hadoop and NoSQL in a Big Data Environment

Interview with Ron Bodkin Follow 0 Followers on  Feb 03, 2012

Ron Bodkin of Big Data Analytics discusses early adoption of Hadoop, NoSQL and big data technologies. He discusses common patterns and explains how developers can write low-level primitives to optimize MapReduce function. Other topics include Hive, Pig, multi tenancy, and security.

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