Business Intelligence

No matter how much disk space you add to a system, sooner or later you're going to run short. But watching disk space get slowly used up is a lot like watching grass grow. How do you avoid a disk space crisis and avoid being lulled into a data stupor?

Capitalism is a strange animal. Its practice is interpreted differently from person to person, company to company, and generation to generation. The goal of course is always the same - to make a profit - but the path to profits is what defines you as a person or entity.

If you’re a .NET developer, you know that a lot of what happens with web development can seem like black magic. Much of the grittiness involved with today’s complicated web services is masked from your control to make things easier on you and allow you to program faster. The side effect to this is that some aspects of debugging - particularly performance tracing - can be made more difficult.

Password strength requirements are a hot topic as of late due to a slew of compromised sites and services exposing millions of user accounts to hackers. To no one’s surprise, the most used passwords are embarrassingly weak. “password” anyone?

One company has (way) upped the ante in the search for good software engineers

If comparing Bing and Google on regular search results isn’t enough, try comparing them based on autocomplete suggestions

Basketball- and soccer and hockey and even mixed martial arts - are catching up to baseball in the use of Big Data and analytics

There's lots of hype around self-driving cars; some of it sounds good, some of it sounds pie-in-the-sky and some of it sounds downright dumb

The Echo Nest serves up music recommendations for a number of popular music services, like Spotify and Rdio. Here’s how they do it

Privacy regulations like HIPAA and GLB are mind boggling in their complexity, and that makes complying with them difficult. But what if you could automate compliance audits, harnessing heavy compute power to measure compliance with privacy laws and spot violations? Researchers from CMU may have found a way to do so.

As big data sources -- everything from social networks to operations -- touch more people inside the enterprise, more workers will need analytics to get value from the data.

MIT researchers develop a new approach to working with big data: reduce it to a size that can be managed and analyzed with conventional tools