This session will take you through the evolution and post mortem analysis of Couchbase adoption and integration at Playtika, a leading social gaming company. In this talk, Ira will cover why Playtika began using Couchbase in the first place and how the company used it to scale a game that serves over 2 million unique daily users.
Measuring ad campaign effectiveness using cross-attribution of offline and online channels relies heavily on the quality and history depth of the data, Convertro is maximizing history depth by overcoming cookie limitation using a stream mining based tracking algorithm backed by Couchbase.
The massive computing and storage resources that are needed to support big data applications make cloud environments an ideal fit. Now more than ever, there is a growing number of choices of cloud infrastructure providers, from Amazon AWS, OpenStack offered by the likes of HP, Rackspace and soon even Dell, VMware vCloud as well as private cloud offerings based on OpenStack, CloudStack, vCloud, and more. Given the diverse options, and the dynamic environments involved, it becomes ever more important to maintain the flexibility to choose the right cloud for the job. In this session, you'll learn how to deploy and manage a CouchBase cluster on any Cloud, as well as manage the rest of your big data application stack using a new open source framework called "Cloudify." (Visit cloudifysource.org)
Couchbase Server 2.0 transforms Couchbase Server into a document database with the addition of JSON support, indexing and querying, and cross datacenter replication building on to existing capabilities of being easily scalable, consistently high-performant and always on. This session will show a hands-on tour of the product and the underlying architecture.
Learn primary differences between RDBMS and NoSQL, covering basic and slightly more complex models. Using keys and documents for design patterns, and how to think differently about data.