Any federal IT pro can tell you that analyzing log files is something they’ve been doing for years. That said, as applications get more complex, performance becomes more important and security issues increase. Log analytics are fast becoming a critical component of an agency’s monitoring and management infrastructure.
So much data, so little time. Disparate sources such as sensors, machines, geo-location devices, social feeds, server and security system logs, and more, are generating terabytes of data at unfathomable speeds. Getting any kind of real-time insight and, we dare you to dream, acting on that data as it flows in, is not an easy feat for resource-constrained government agencies.
Big Data Month: New eBook Sheds Light on How Government is Overcoming Persistent Big Data Challenges
There are many opportunities in the public sector for data science and data analytics, yet, almost as many challenges. When we kicked off Big Data Month at DLT, we asked our Chief Data Scientist, Sherry Bennett, for her insights. What became clear is that the obstacles to big data success are universal to both the public and private sector: “…everybody…is grappling with the same thing.
At DLT, July is Big Data Month, where we will be highlighting all things big data in the public sector. To kick off Big Data Month, we sat down with DLT Chief Data Scientist Sherry Bennett to get her insights into what is going on the world of public sector data and analytics:
INTERVIEWER: So Sherry, what's your story and what led you to DLT?