EMA Blog: Business Intelligence and IT Management

Long gone are the days of simple, signature-based defenses against cyber-threats.

Cyber-threats are growing at an exponential rate in the perpetual cat-and-mouse game of cybersecurity, and traditional approaches to cybersecurity are struggling to keep pace. In 2021, anti-malware vendors estimated that they detected between 300,000 and 500,000 new pieces of malware every day. That means than in 2021 alone, over 100 million new pieces of malware were created. Even if cybersecurity vendors can keep up with the sheer volume of new pieces of malware, traditional signature-based and even heuristic-based detection algorithms will struggle to keep up – and that’s only for known malware.

As I review my series of #100linesOnBIDW blogs over the last couple of weeks, I found myself looking at the Data Management posting. I covered when to apply schemas, Big Data, and data governance. What I left out was technical implementation concepts for data management systems like row vs. column orientation; in-memory vs. spinning disk primary storage; and symmetric multiprocessing (SMP) vs. massively parallel processing (MPP). Processing and storage were the “developments” of 2012. I left 2013 for the “how to use” Data Management platforms.