This past week, I had a parking lot discussion with a client about the rich wealth of dimensional data that âbig dataâ can provide.Â Big data is expanding both traditional dimensions â such as products, customers, stores, markets, and suppliers â with new dimensional attributes and itâs creating new dimensions â such as websites, search keywords, display ads, social sites, meters, and sensors.Â Organizations are looking to exploit these new dimensions to
“I had no idea how much info is being tracked on me each day. This app opened my eyes and to the world around me.”
Massachusetts Gov. Deval Patrick, and leaders from technology firms, venture capital and research universities recently announced a joint effort to position the Bay State as a hub for job creation in data science. It is a bet worth making.
Thirty-five years ago, computer science didnât exist as an academic discipline. Now, it is taught on a global basis. Within years, data science will become the new âhotâ discipline for the next generation, driven by the hottest buzzword in technology today: Big Data.
Big Data refers to the growth of data sets that have become so large that they defy the ability of conventional forms
There is a great deal of discussion about converged infrastructures and reference architectures and which vendors you should consider based on your needs. However, if you still manage your single-SKU virtual solution the same as your legacy data center, using product or component-specific tools to run your operations, you are missing out on harnessing the power of this converged infrastructure building block—and getting the most out of your investment.
The Apache Hadoop platform has been ascendant in recent years, thanks to its flexibility, rich developer ecosystem, and ability to suit the analytics needs of developers, web startups and enterprises. Hadoop is on track to become prevalent in 2013, with Gartner predicting it will be embedded in two thirds of Big Data analytics products by 2015. A new eWeek slideshow details the reasons why. eWeek cites Hadoop’s ability to analyze data in real-time, its cost-effectiveness in relation to the value of predictive analytics, Hadoop-optimized hardware, and the increasing number of practitioners with Hadoop expertise. This will drive the demand for
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