Big Data Insights

High level updates and insights from the world of Big Data
Big data applications can be utilized to help financial centers combat fraud.
One healthcare consortium has leveraged its EHR system to enhance its big data projects.
Healthcare has long been touted as one of the biggest areas of opportunity for big data initiatives - McKinsey's influential 2011 big data report suggested improved analytics could save the industry $300 billion a year in the U.S. - but technologies such as Hadoop are enabling the industry to actually embrace the potential its data holds.
Hadoop big data tools can help retailers optimize their product lines and engage consumers.
Today, Hadoop and big data are phrases on the tongues of every IT professional and business executive, but the open source analytics tool was not always such a high-profile project.
The recent O'Reilly Strata conference offered an opportunity for industry professionals to gather and talk about the latest in Hadoop and big data advancements. As attendees reflect on big data trends and announcements from the event, several noted that Hadoop is being solidified as a must-have component of enterprise
Data analytics programs can help ecommerce retailers identify highly valued customers with greater ease.
Enthusiasm for Hadoop big data analysis has led some people to see the technology as simply a fancy way to solve problems faster, but others argue that this view sells the true promise of big data short.
The online advertising marketplace has become more complex as the proliferation of consumer data in the space has increased demand for targeted buys. A number of startups have emerged around the practice of real-time bidding (RTB), which allows advertisers to buy spots in real time auctions and spread purchases across multiple publishers. To analyze and deliver billions of ad impressions every day, these RTB startups are relying on big data analysis tools and NoSQL database technology such as Hadoop HBase.
Business interest in using speech analytics is growing, as contact centers, pathology researchers and others look for ways to leverage Hadoop big data into actionable insights.
Enthusiasm for big data in principle is high, but, as enterprises begin to experiment with Hadoop clusters, many are finding that they are unsure exactly how this new technology fits into their organization.
Manufacturing settings are one of the most promising openings for Hadoop big data analytics, as a flood of sensor data and inputs from other automated processes can help provide insights on everything from potential fabrication errors to assembly line inefficiencies.
As businesses look to big data analytics to not only track performance but also to create business advantages, Hadoop is shifting from an application relevant solely to data warehousing experts to one with mainstream appeal, Microsoft's David Campbell explained in a recent interview with SQL Server Pro.
Prescription drug abuse is one of the United States' most challenging fronts in combating illegal activity and protecting public health.
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