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48:01

Distributed Eventually Consistent Computations

Posted by Christopher Meiklejohn  on  Aug 15, 2015

Christopher Meiklejohn looks at applying two techniques together, deterministic data flow programming and conflict-free replicated data types, to create highly available and fault-tolerant systems.

48:15

How to Train Your Docker Cloud

Posted by Andrew Kennedy  on  May 16, 2015

Andrew Kennedy talks about the reasons for creating a Docker cloud and how Clocker was born.

01:26:08

Groovy Vampires: Combining Groovy, REST, NoSQL, and More

Posted by Ken Kousen  on  May 09, 2015

Ken Kousen discusses combining various technologies: Groovy, Ratpack, MongoDB, Grails, REST.

01:33:09

What's New in Spring Data?

Posted by Thomas Darimont,Oliver Gierke,Christoph Strobl  on  Nov 07, 2014 1

This talk provides a broad overview of the new features introduced in the latest Spring Data release trains: recent additions in Spring Data Commons and the latest features of individual store modules

44:17

Data Modeling for Scale with Riak Data Types

Posted by Sean Cribbs  on  Aug 10, 2014

Sponsored by Basho. Sean Cribbs discusses the theory behind several rich data types introduced with Riak 2.0 and then walking through some example applications that use them in popular languages.

01:15:17

Full Stack JavaScript

Posted by Grant Shipley  on  Jul 16, 2014

Grant Shipley demos using JavaScript and Node.js to develop an iOS and Android application using MongoDB as backend.

44:43

A Big Data Arsenal for the 21st Century

Posted by Matt Asay  on  Jun 12, 2014 2

In this solutions track talk, sponsored by MongoDB, Matt Asay discusses the differences between some of the NoSQL and SQL databases and when Hadoop makes sense to be used with a NoSQL solution.

54:41

HTML5/Angular.js/ Groovy/Java/ MongoDB, All Together - What Could Possibly Go Wrong?

Posted by Trisha Gee  on  May 10, 2014 6

Trisha Gee demoes building a web application using Java, HTML5, Angular.js, Mongo.DB, Groovy and microservices in one hour.

51:26

Scaling Pinterest

Posted by Yash Nelapati, Marty Weiner  on  Dec 30, 2013

Details on Pinterest's architeture, its systems -Pinball, Frontdoor-, and stack - MongoDB, Cassandra, Memcache, Redis, Flume, Kafka, EMR, Qubole, Redshift, Python, Java, Go, Nutcracker, Puppet, etc.

38:01

Tracking Millions of Ganks in Near Real Time

Posted by Garrett Eardley  on  Dec 12, 2013

Garrett Eardley explores how Riot Games is using Riak for their stats system, discussing why they chose Riak, the data model and indexes, and strategies for working with eventually consistent data.

01:17:25

Working with Databases and Groovy

Posted by Paul King  on  Nov 24, 2013 2

Paul King presents working with databases in Groovy, covering datasets, GMongo, Neo4J, raw JDBC, Groovy-SQL, CRUD, Hibernate, caching, Spring Data technologies, etc.

47:32

Deleting Code at Nokia

Posted by Tom Coupland  on  Jun 19, 2013 1

Tom Coupland discusses some of the various technologies investigated, and in many cases deployed at Nokia including Gradle, Spring, MongoDB and Clojure.

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