Access your Pro+ Content below.
Is big data education a big failure?
This article is part of the July/August 2013 / Volume 15 / No. 6 issue of Information Security magazine
When it comes to integrating information technology trends into the curriculums of many universities and colleges, the educational system has fallen behind the learning curve. This is true for big data education, and unfortunately, the IT security needed to protect unstructured information. The concepts related to the handling of large amounts of data are briefly touched on in courses that focus on databases or algorithms. But when big data is addressed in an algorithms class, it’s primarily as a justification for teaching different sorting algorithms, essentially, ordering lists in “big data” projects. If universities do offer classes on big data, it is often as graduate-level coursework. Despite few computer engineering or computer sciences classes that focus specifically on big data, we see the concept show up in other courses; bio-informatics, for example, where processing big data is required to complete a task. Security optional Given the void in big data education, it should come as no surprise that the security of big ...
Features in this issue
In this special report, Dave Shackleford explores advanced network security architectures that help segment and isolate traffic with in your data center.
Cover story: Want to shed appliances? Consolidation and new platforms hold promise for security teams.
The majority of breaches occur as the result of third parties. MacDonnell Ulsch advises companies to safeguard third-party management agreements.
Almost 60% of respondents in our 2013 Enterprise Mobile Security Survey believe mobile devices present more risk now than in Q2 2012. What’s changed?
Columns in this issue
We polled readers in our annual Enterprise Mobile Security Survey and the 2013 results are in.
A decade after becoming law, the ripple effects of California's SB 1386 have surfaced in a new breed of proactive, granular state data privacy laws.
Big data presents big challenges for computer science programs from classification to cloud security. Are industry partnerships the answer?