The recent explosion of mobile devices, combined with parallel processing on commodity machines and rich HTML5/Javascript data visualization frameworks, has created a perfect storm of big data. Winning in this space requires not only the raw horsepower of big data computing, but also the insights brought by data science and dissemination of "data-gleaned value" through rich visualizations and agile applications.

As a NoSQL database-as-as-service vendor with more than 13,000 users, we have a unique perspective on successful emergent phenomena in this space. We will discuss the five leading patterns emerging from the best big data applications. We'll also examine early technological choices and design decisions, and will conclude with basic examples of the Cloudant API.

Adam Kocoloski

Co-Founder & CTO,
Cloudant

Adam is an Apache CouchDB developer and one of the founders of Cloudant. He is the lead architect of a Dynamo-flavored clustering solution for CouchDB that serves as the core of Cloudant's distributed data hosting platform. Adam received his Ph.D. in Physics from MIT in 2010, where he studied the gluon's contribution to the spin structure of the proton using a motley mix of server farms running Platform LSF, SGE, and Condor. He and his wife Hillary are the proud parents of two beautiful girls.