This talk will introduce the features of MongoDB by walking through how one can building a simple location-based check-in application using MongoDB. The talk will cover the basics of MongoDB's document model, query language, map-reduce framework and deployment architecture.

How do I use MongoDB and Spring? How do I deploy my MongoDB application into a PaaS? Cloud Foundry is a PaaS that supports many languages and frameworks, as well as many services and data stores, one of which is MongoDB. Udo will talk about a new pattern enabled by this architecture where you can write different pieces of your application in multiple different languages or frameworks. This talk introduces the usage of Spring Data and the ability to dynamically bind your application to a MongoDB service running in a PaaS.

One of the challenges that comes with moving to MongoDB is figuring how to best model your data. While most developers have internalized the rules of thumb for designing schemas for RDBMSs, these rules don't always apply to MongoDB. The simple fact that documents can represent rich, schema-free data structures means that we have a lot of viable alternatives to the standard, normalized, relational model. Not only that, MongoDB has several unique features, such as atomic updates and indexed array keys, that greatly influence the kinds of schemas that make sense.

Schemaless databases might sound like fun, but in reality how many applications actually store schemaless data? How can you sensibly build an application on a schemaless data store and still maintain sanity in your development team? Can you do it without sacrificing the flexibility and richness of MongoDB documents? In this talk, we'll see how you can have your cake and eat it too with Object Document Mapping frameworks which can bring sanity to chaos without introducing excessive complexity or overhead. We'll zone in on MongoKit as a case study, a Python ODM that makes it super-easy to build robust MongoDB applications.

MongoDB supports replication for failover and redundancy. In this session we will introduce the basic concepts around replica sets, which provide automated failover and recovery of nodes. We'll show you how to set up, configure, and initiate a replica set, and methods for using replication to scale reads. We'll also discuss proper architecture for durability.

The wow’s and woes of converting a rapidly expanding startup’s database to MongoDB including implementing a MongoDB data warehouse.

Sharding allows you to distribute load across multiple servers and keep your data balanced across those servers. This session will review MongoDB’s support for auto-sharding, including an architectural overview, usage patterns, as well as a few example use cases of real world sharded deployments.

In this session, BuzzNumbers Executive Director Nick Holmes a Court covers when, why and how to move from traditional DB/BI platforms to NOSQL and MongoDB. We cover solution architecture, schema designs, scale patterns, development techniques, operations and performance monitoring/management and creating adaptable solutions that deliver next generation multi-terabyte Business Intelligence and Analytics services. We will cover lessons learned from multiple use case scenarios within BuzzNumbers from 4 separate MongoDB implementations across hundreds of servers and billions of records. Visit us on Twitter at @BuzzNumbers and @nickhac

Slides

This talk will cover lessons learned at Community Engine regarding MongoDB, including: why we moved away from an Hybrid solution using SQL and MongoDB; an outline of the technologies and what we learned using MongoDB on Amazon Web Services; the MongoDB C# driver; MongoDB with SOLR for Full Text Search; how we do migration, deployment and more.

Slides

MongoDB has been embedded into the Flight Centre web architecture as an integrated repository module. Developers can quickly take advantage of the MongoDB integrated solution for any business need. The single MongoDB solution is being used on over 20 Flight Centre and associate Flight Centre brand web sites.