 Big data is big money. A recent study by Wikibon pegs the big data market at $5 billion in 2012, and we have that growing at a whopping 58% compound annual growth rate to $50 billion by 2017. Wikibon believes the data is the new source of competitive advantage in the technology business. And all industries are going to be affected by the big data trend. The new reality is that no enterprise can afford to ignore the opportunity to monetize data and information for profit. Improved productivity is another key area of concern from CEOs as is greater customer satisfaction. Even saving lives in healthcare can be affected by big data. Hi, everybody. This is Dave Vellante of Wikibon.org. And today, March 20, 2012, EMC Green Plum made an announcement that contained three key pieces in our view. The first is the general availability of Chorus, the company's collaborative analytic platform for data scientists. Two is an open source business model for Chorus, and three, the acquisition of a company called Pivotal Labs, which is a software development consultancy that pioneered agile development and has developed a number of big data and web-based applications. Now Green Plum, as you may know, is a next generation data warehouse that is a key component of EMC's unified analytic platform, or UAP. UAP is an integrated solution that comprises the Green Plum database, Apache Hadoop, and Chorus. It's essentially big data in a box. The three most important aspects of this announcement in the view of the Wikibon community are, one, it enables a single environment for data scientists to collaborate globally. Two, with Pivotal Labs, EMC is in a better position to offer customers a rapid application development capability for big data apps. Now this is important because big data applications are very hard to develop and there's a real shortage of quality and experienced programmers in this field. Number three, competitively, EMC now has a much more complete big data offering that starts with the Hadoop storage layer and runs all the way through the application development activities. As we've consistently said here at Wikibon, applications are where consumers get the value from technology and more big data apps simply need to be developed for a way more diverse set of problems than customers are used to facing in traditional enterprise IT. These range from more effective advertising, fraud detection, healthcare, financial services, logistics, energy exploration, social media and a host of other use cases, many of which have yet to be discovered. This announcement in our view underscores that enterprise customers need easier integration and more simplified application development tools and services than they can obtain through pure open source roll your own models. Everyone believes that any tool or platform that makes it easier for enterprises to develop, consume and monetize big data will win in today's market. However, this is just table stakes and the real future of big data lies in the game-changing applications that allow enterprises