Posts Tagged Data Privacy

Wikibon’s Big Data Research Agenda: Technology, Ecosystem and Application

Screen Shot 2014-01-02 at 1.51.45 PMI’ve already laid out my predictions for Big Data in 2014, but I also wanted to let the Wikibon community know how my colleagues and I plan to cover Big Data in the year ahead. We’ve organized our research agenda into three major buckets.

Technology. Clearly the technologies and products that collectively make up Big Data – including Hadoop, NoSQL data stores, analytic databases, data visualization tools and more – are maturing at a rapid pace (much faster, for example, than relational databases did in the 1980s.) Big Data is also applicable across industries,  meaning these technologies are inevitably and increasingly intersecting with adjacent technology movements, namely the cloud, mobile computing and social media. As we have for the last several years, Wikibon will devote significant coverage to these developments with an eye on putting technology innovations in context for enterprise Big Data practitioners (both technology practitioners and line-of-business practitioners.)


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Big Data in 2012: Hadoop, Big Data Apps, Data Science Tools, Cloud Collision and More

For sure, Big Data was a Big Deal in 2011. With the New Year fast approaching, here’s Wikibon’s take on what to expect in 2012.

    • 2012 Will Be the Year of Big Data Applications. Thanks to the intense competition between The Big Three distribution vendors, Hadoop developed rapidly in 2011 and is, by most accounts, enterprise-ready (there are always areas for improvement, of course, notably around Hadoop’s single point of failure issue.) This, along with readily available capital, will result in significant innovation from both existing and new start-up Big Data Application vendors now confident that Hadoop is for real. Expect to see new vertical Hadoop-based Big Data Applications for healthcare, retail, financial services and manufacturing in the year ahead, as well as horizontal applications focused on human capital management and enterprise resource planning. Adoption will start slow, but for traditional enterprises, Big Data Applications are the key to realizing impactful business value from Hadoop. 2012 should be a good year on this front.

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