In May 2011, the management consulting firm McKinsey & Company released a research report titled Big data: The next frontier for innovation, competition, and productivity. This was a seminal report, ...

One implication of ubiquitous sensing as evidenced by the rapid growth of the Internet-of-Things (IoT) is the explosive increase in data being collected. This data comes from myriad sources: According ...

To take advantage of Big Data, agencies must ensure their technology stacks — including storage, servers, networking capacity and analysis software — are up to the task. Federal agencies, like ...

The underlying programming model for MapReduce has been revamped and has changed quite a bit. Chuck Lam, the author of Hadoop in Action Benefits that keep getting better include high levels of ...

At the intersection of analytics and smart technology, companies now seeing the long-awaited benefits of AI and Big Data. Forbes understands these quickly evolving technologies are no novelty, but a ...

This vendor-written tech primer has been edited by Network World to eliminate product promotion, but readers should note that it will likely favor the submitter’s approach. The Big Data trend ...

Big data, defined as an all-encompassing term for any collection of data sets so large or complex that it becomes difficult to process using traditional data processing applications, continues to be a ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

There are three buzzwords that, if we had our way, would be stricken completely from the world: “cloud,” “the Internet of Things,” and “big data.” Each of them was coined in an attempt to elegantly ...

"Big data isn't just a buzzword or a passing fad; it is a fundamental, increasingly 'table stakes' capability for companies in all sectors," said Matt Zisow, director of product at online retailer ...

Big data engineers develop, maintain, test, and evaluate big data solutions within organizations. Duties include resolving ambiguities in data, performance optimization, and data extraction. Big data ...