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.
Big Data Insights
High level updates and insights from the world of Big Data
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.