From banking to booking travel to shopping for personal items like medicine, clothes, groceries, and books online, personal data is the basis for most transactions today. That exposes the individual and organizations to risks and security breaches.
If you’ve worked with Big Data and analytics for long, you’re probably aware of the challenges of mixing structured and unstructured data. However, there are powerful insights that can be gathered when mixing these two types of data—sometimes called Wide Data. What Is Wide Data? Imagine you have enterprise-structured data… Read More →
The science (or should that be the art?) of data analytics has, traditionally, been divided up into a sequence of very distinct and separate processes: the collection of data, whether from a single source or, more commonly these days, a combination of multiple sources—followed by its analysis, typically offline, and… Read More →
CargoSmart, a leading provider of global shipment management solutions, is in an expansive and volatile industry. According to CEO Steve Siu, using Big Data will provide a competitive advantage and lead to industry transformation. “We are managing Big Data from over 5,500 vessels, covering 90% of the world’s ocean container… Read More →
Business enterprises today not only collect vast amounts of data as a matter of routine, they have also come to view Big Data as a critical business asset just waiting to be exploited. More than that, we’re seeing an ever-increasing number of enterprises willing to invest in both the collection… Read More →
While most enterprises are now collecting and analyzing Big Data to some degree, few are actually deriving actionable insight in real time. All that data is irrelevant unless companies can make sense of it in time to make better decisions. According to a recent study, 89 percent of enterprise executives… Read More →
Source: MastersInIT.org Want to learn more about big data? Explore our Integration Maturity Model.
The most accepted definition of Big Data comes from Wikipedia: “Big Data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.” To put it another way: Big Data is the… Read More →
One analogy for Big Data analysis is to compare your data to a large lake. I don’t mean a little subdivision runoff pond, but rather a lake fit for skiing and other water sports. Trying to get an accurate size of this lake down to the last gallon or ounce… Read More →
Big Data has received enormous attention for several years, but for many companies investing in Big Data technologies, efforts to date have been lab experiments. And that’s okay—we could clearly see that the digitization of our world and new computing capabilities would change the game, but where and how to… Read More →