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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 and tradeoffs 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 2

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.

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.

49:08

Data Modeling for NoSQL

Posted by Tony Tam  on  May 08, 2013

Tony Tam shares tips for modeling data with MongoDB for a fast and scalable system based on his experience migrating billions of records from MySQL to MongoDB.

40:28

MongoDB Large-scale Data Centric Architectures

Posted by Kenny Gorman  on  Apr 09, 2013

Kenny Gorman provides advice on designing systems using MongoDB in order to avoid some of the pitfalls lurking along the way.

Spring Data - NoSQL - No Problems...

Posted by Peter Bell  on  Oct 18, 2012

Peter Bell introduces 4 NoSQL categories –Key-Value, Document, Column, Graph - and explains how one can use Spring Data to work with such data stores.

MongoDB - Born in the Cloud

Posted by Ross Lawley  on  Oct 15, 2012

Ross Lawley introduces MongoDB, explaining why it is a good solution for cloud deployment.

Transactions without Transactions

Posted by Richard Kreuter and Kyle Banker  on  Feb 09, 2012 9

Richard Kreuter and Kyle Banker on how to avoid classical RDBMS transactional systems by using compensation mechanisms, transactional messaging or transactional procedures.

Polyglot Persistence for Java Developers - Moving Out of the Relational Comfort Zone

Posted by Chris Richardson  on  Feb 03, 2012

Chris Richardson shows how he ported a relational database to three NoSQL data stores: Redis, Cassandra and MongoDB.

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