Resources

MongoDB + Pig

Learn to process MongoDB data with Hadoop—specifically with Apache Pig. We will cover the steps needed to read JSON from MongoDB into Pig, parallel process it on Hadoop with sophisticated functions, and write back to MongoDB. This talk will demonstrate its concepts with Mortar. Mortar is a PaaS for developing and executing Hadoop data pipelines. Mortar has contributed to the MongoDB Hadoop connector, extending it to work with Pig. Give us your feedback and win some swag!

How We Evaluated MongoDB as a Relational Database Replacement

Explain the process, methodology, and results used at Apollo Group to evaluated MongoDB to replace Oracle for a core platform component. Give us your feedback and win some swag!

Powering Social Games with MongoDB

PlayFirst is powering its data driven Social Games platform through the use of MongoDB. The session will discuss the architecture behind PlayFirst's innovative Real Time Analytics Data Warehouse and how PlayFirst is managing its high volume user data transactions to drive its Social Games.

MongoDB and Craigslist's Data Storage Evolution

MongoDB for Statistics at SoundCloud

SoundCloud lets you move music fast and easy. The platform takes the daily hassle out of receiving, sharing, and distributing music for artists, record labels, and other music professionals. MongoDB is powering SoundCloud's statistics. What's actually happening to your music right now? Who downloaded what? Where are your most loyal listeners? SoundCloud stats gives you the metrics you need to get in the know.

Sharing Life's Joy using MongoDB: A Shutterfly Case Study

MongoDB E-Commerce Case Study: Totsy

Sailthru: Moving From Cloud To Colo

For nearly two years, Sailthru ran our entire MongoDB deployment on Amazon EC2, serving terabytes of data and processing thousands. We had a number of successes and a number of challenges, and ultimately decided to move our primaries to a physical hardware. I'll reflect on the move and the pros and cons of both cloud and metal, from hard experience.

MongoDB @ Gilt

Sean Sullivan presents about MongoDB @ Gilt.

Humongous Data at Server Density: Approaching 1 Billion Documents in MongoDB

MongoDB scales from small deployments to those using billions of documents, or more. This talk will explain the steps Boxed Ice took to scale MongoDB up to 1 billion documents, along with the problems and solutions that arose along the way. Topics include hardware configurations, handling failover and dealing with large volumes of data.

MongoDB chez illicotravel

Illicotravel est un comparateur de voyages faisant 450 000 VU/mois générant un volume d'affaire de plus de 30 millions d'euros pour nos partenaires voyagistes et compagnies aériennes. Quelles ont été nos motivations pour abandonner MySQL ? Comment avons-nous intégré MongoDB dans notre architecture Java ? Avons-nous toujours besoin d'une base en SQL ? (un indice: non) Quelles ont été nos découvertes, nos surprises, et surtout les patterns récurrents lors de l'utilisation des index, du map/reduce ou de morphia (ODM)

"Operationalizing" MongoDB at AOL

Learn about the challenges of bringing MongoDB into a large organization with a centralized operations group. "Operationalizing" consists of establishing and communicating installation, setup, monitoring, alarming standards and overall best practices.