Facebook Privacy Issues – How the Recent Controversy Affects You

CybeRiskBlog, Cybersecurity

Facebook Privacy Issues

Given the amount of negative publicity and bad blood that’s been generated in the past few months surrounding Facebook privacy issues, the powers that be at Facebook must be worried about the future of the social media giant. Scandals like the Cambridge Analytica affair – where Facebook was co-opted by a data-gathering agency with a mission to misuse the information it collected to spread fake news and influence US political processes – have unmasked some of Facebook’s less than savory practices regarding data-sharing, and its standards for vetting and displaying online content. Facebook’s too cozy relationship with advertisers has also come into the negative spotlight, prompting users worldwide to seek ways around location and ad-tracking – all the while pressing … Read More

Big Data Platforms vs SQL Server – Business Analytics Driving Debate

CybeRiskBlog, data security

big data

Dismissed by some in the development community as “Scarcely Qualifies as a Language”, SQL in its various proprietary forms (MySQL, SQL Server, Oracle etc.) has long been the standard for relational database management systems (RDBMS). But with the growing importance of online commerce and enhanced methods of information gathering, the need to factor unstructured data sources into the mix of business analytics has fueled a drive towards big data technologies. In this article, we’ll be considering how big data analytics platforms and SQL-based architectures square off against each other. Big Data vs SQL Server – Different Structural Approaches Relational database management systems (RDBMS) have been using tools based on Structured Query Language or SQL since it was first developed some … Read More

Big Data Security – A Look at the Big Data Phenomenon and the Risks to the Enterprise

CybeRiskBlog, Cybersecurity

Since its initial appearance amid huge bursts of hype, the big data phenomenon has only gotten bigger: An increasing number of platform tweaks and software releases, in response to continually growing streams of unstructured data from which enterprises hope to glean market-breaking insights. Given the amounts of hardware, software, and information involved, there’s an immense attack surface being presented to potential spies or intruders, and the inevitability of a massive big data breach is now pretty much accepted, rather than floated as a vague possibility. Yet attitudes to big data and its security implications remain disturbingly casual. Before the inevitable occurs, organizations will need to reassess their attitudes to big data and its applications, in order to safeguard its use … Read More