Following part two of our Big Data in Security series on University of California, Berkeley’s AMPLab stack, I caught up with talented data scientists Michael Howe and Preetham Raghunanda to discuss their exciting graph analytics work. Where did
What’s the problem with Big Data? You guessed right — it’s BIG. Big Data empowers organizations to discern patterns that were once invisible, leading to breakthrough ideas and transformed business performance. But there is simply so much of it, and
Following part one of our Big Data in Security series on TRAC tools, I caught up with talented data scientist Mahdi Namazifar to discuss TRAC’s work with the Berkeley AMPLab Big Data stack. Researchers at University of California, Berkeley
Recently I had an opportunity to sit down with the talented data scientists from Cisco’s Threat Research, Analysis, and Communications (TRAC) team to discuss Big Data security challenges, tools and methodologies. The following is part one of
On a typical day, we leave a vast trail of data in our wake. Our browsing histories, online preferences, shopping habits, work decisions, social interactions—all are rendered in binary code, prompting a complex interaction of requests, responses
Dreamhack Winter 2013 in the small city of Jonkoping in central Sweden claims to be the world’s largest digital event. I was skeptical at first, but when I arrived for...
When was the last time you looked at your mobile device? Minutes ago? Seconds ago? We can’t seem to live without them, and in the consumer space, new mobile services...
Futurists have long envisioned a world where fabulous innovations transform our lives in mind-boggling ways. And while some of their ideas may remain far-fetched, the most exciting thing about their future is that so much of it is already here, today
Introduction It’s mind-boggling to see the speed at which people, process, data, and things are becoming more and more connected. The Internet of Everything (IoE) world is already happening. But what does that world really look and feel like in our
