mapreduce

2 min read

By now it is clear that big data analytics opens the door to unprecedented analytic opportunities for business innovation, customer retention and profit growth. However, a shortage of data scientists is creating a bottleneck as organizations move from early big data experiments into larger scale adoption. This constraint limits big data analytics and the positive […]

7 min read

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 AMPLab built this open source Berkeley Data Analytics Stack (BDAS), starting at the bottom what is Mesos? AMPLab is looking at […]

9 min read

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 five in this series where Jisheng Wang, John Conley, and Preetham Raghunanda share how TRAC is tackling Big Data. Given the hype surrounding […]

When customers look to deploy their Hadoop solutions, one of the first questions they ask is, which distro should we run it on? For many enterprise customers, the answer has been MapR. For those of you not familiar with MapR, they offer an enterprise-grade Hadoop software solution that provides customers with a robust set of […]