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.
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.
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.
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.
In this interview Ted Dunning talk about Hadoop, its current usage and its future. He explains the reasons for Hadoop's success and make recommendations on how to start using it.
Brian Foote looks back at the promises of OOP and discusses which, if any, of them became reality. Also: a look at NoSQL, refactoring and code quality, testing and static typing and more.
In this interview recorded at JavaOne 2011 Conference, Srini Penchikala talks to Grails project lead Graeme Rocher about Grails 2.0 features, polyglot persistence paradigm and how Grails supports it. Graeme also talks about the tool support and the upcoming features in Grails 3.0 release.
In this interview recorded at JavaOne 2011 Conference, Spring Hadoop project lead Costin Leau talks about the current state and upcoming features of Spring Data and Spring Hadoop projects. He also talks about the Caching and Data Grid architecture patterns.
Orion Henry explains what make Heroku's PaaS tick, in particular the new extensible Cedar stack as well as Doozer, the implementation of the Paxos algorithm created at Heroku.
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Moving from Relational to NoSQL: How to Get Started
As enterprises adapt to the digital economy, development and operations teams have to build...
MongoDB vs. Couchbase Server: Architectural Differences and their Impact
From the new generation of NoSQL databases, MongoDB and Couchbase Server have...
NoSQL Database Evaluation Guide
While every company has its own specific set of requirements for the NoSQL database...
Why Retail and eCommerce are making the move to NoSQL
In today’s digital economy, leading companies like Best Buy Canada, Nike, Staples, and...
How to Choose a Database for your Mobile Apps
Today’s consumers rely on their mobile apps everywhere – even when they can’t get a network connection...
Simply Accelerate NoSQL data stores
Leading businesses count on NoSQL databases to run their web, mobile, and IoT applications...
High Performance with Distributed Caching Couchbase
For many web, mobile, and Internet of Things (IoT) applications that run in...
Introduction to Data Modeling in Couchbase
The white paper, “Introduction to Data Modeling in Couchbase Server,” explains the process...