The typical argument for in-memory analytics: decreasing memory costs make it eventually cheap enough to put all data in memory. But the other side of the equation to decreasing memory costs is the increasing size of data. And data volumes are growing faster than memory is getting cheaper, Stephen Brobst of Teradata writes in this opinion article. Read More…
Since media reports revealed that National Security Agency is collecting millions of Americans’ telephone records as well as data from the servers of major technology firms, there have been discussions in the public square about the relationship between the government’s Read More…
A secure cloud isn’t a myth or even out of reach when dealing with healthcare information. In fact, implementing an intelligent security model around virtualized infrastructure is not only doable, but also provides unprecedented value to healthcare organizations and businesses Read More…
CAMBRIDGE, Mass.—With the help of Splunk, the University of Connecticut was able to help the FBI. Someone had been calling in bomb threats at universities around the country in order to see the chaos they could cause. The large amounts Read More…
Magellan Vacations sought a way to bring fast analytics to its business users without hiring a data science team. It turned to SiSense, whose technology relies on column-based data stores for its analytics architecture that can use in-chip cache, RAM or disk technology to crunch data quickly. Read More…
ORLANDO—Effective presentations of business intelligence insights rely on good business processes and strong data and project management practices. Those were lessons from two of the more interesting user presentations at the Information Builders Summit held here June 3 through 7 Read More…
For any target big data platform, you must have an application development framework that supports a system development lifecycle and provides a means for loading and executing the developed application. This article discusses the principles involved and how programmers use the MapReduce and ECL frameworks to analyze big datasets. Read More…
Keeping IT operations humming smoothly at a defense contractor and serving up medical records for thousands of doctors are different challenges. But they are two use cases for the behind-the-scenes tools used to monitor the performance of these IT processes: Read More…
Many enterprises are still struggling with how to get value out of their own data. But some companies, like online real estate marketplace Zillow, have made products entirely out of data from outside their organization. In Zillow’s case, the entire Read More…
Despite the growing complexity of big data and the methods to analyze it, self-service analytics and business intelligence tools are hitting the market in droves. That’s because an offshoot of the big data blitz is that appetite for data analysis, Read More…
Hackathons have become a popular way for developers and data geeks with similar interests to connect and create problem-solving or entrepreneurial applications. But the creative process of locking like-minded professionals in a room to find valuable ways to combine datasets Read More…
