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Database Technology


Database Technology

As the volume, velocity and variety of the data in our interconnected world increases, a new breed of database – referred to as NoSQL (Not SQL), has emerged that’s creating a new database landscape. And while you may have heard about NoSQL in the context of big data, genomics and the Internet of Things, NoSQL, especially in its graph database form, may have huge implications for governments, in particular for those entrusted to look after our safety. 

Let’s consider that data growth context. Digital consumers are generating data at an exponential rate, via social networking, emails, web activity and smartphones. Internet trends watcher Mary Meeker recently reported (http://www.kpcb.com/internet-trends) that we generate 2.5 quintillion bytes of new data every day, globally, and that’s a lot of data to store, let alone try and do anything constructive with. The majority of those daily additions of bytes are semi- tructured or unstructured data. That’s a particular issue in the law enforcement and security world, as these professionals need a way to deal with the data explosion. Clearly, if we had a way of better interrogating large data sets to help isolate such connections, we’d be one step ahead in terms of preventing these activities.

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Coming up in the Next issue of Digital Forensics Magazine

Coming up in Issue 40 on sale from August 2019:


Forensic Syntactical & Linguistic Investigation

Mark Iwazko presents a case study regarding a Forensic Syntactical & Linguistic investigation: Instructed by the Moscow General Council of one of the actual big four accountants. Read More »

Forensic Readiness: A Proactive Approach to Support Forensic Digital Analysis

An increasing number of criminal actions are inflicting financial and brand damage to organizations around the globe. An impressive number of such cases do not reach the courts, mainly because of the organization’s inefficiency to produce robust digital evidences that are acceptable in the courts of law. Read More »

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Using Error-Patterns for Attribution: An Applied Linguistics Technique

Corpus Linguistics within Second Language Acquisition has developed models of error patterns made by defined groups of second language learners. This knowledge base can be leveraged by a knowledgeable analyst to attribute content to a subset of authors. Read More »

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