IT security is changing and the threats to our data and organizations are becoming more dangerous and harder to stop. Like Donald Trump, many businesses seem to believe the answer to security is to build ever bigger walls – with heavily policed gates where everything going in and out is checked for ‘undesirables’. Find out all you need to know about data security here…
Although big data is feeding an expansion in the use and development of business intelligence systems (BI), BI as a business discipline is already very mature, having been around for more than a quarter of a century. Traditionally dominated by big industry players such as IBM and SAS, more recently the big data feast has helped to whet appetites about a host of open source, startup and cloud-based BI solutions. While the expansion in the choice of tools and components should be welcomed, it can be rather confusing for organizations trying to decide what they actually need.
There’s a central contradiction at the heart of big data governance: the rigid classification and control of information that typifies most governance initiatives seems wholly at odds with the diverse, distributed, unstructured nature of big data architecture. Yet there’s no getting away from the fact that governance is essential, for both regulatory and business reasons. Find out why, here:
Selecting the right big data analytics tools is tough. The market is awash with options, from those designed for use by data scientists to others aimed squarely at non-technical business types. Some are very flexible, with the ability to craft precise queries covering your every analytical need. Others are more specialized, built to carry out one type of analysis very well. They might be integrated with a specific platform or distribution, or they could be standalone tools and cloud services.
This month has seen the publication of two high-profile books that pose fundamental questions about the big data credo. Yuval Noah Harari, bestselling author of Sapiens, returns with Homo Deus. While his former book examined the history of humanity, this follow-up peers into our future. Harari argues the growing belief in the power of big data analysis could spell the end of democracy and free will, as we humans cede ever more control over our decisions to computer-based algorithms. He calls this credo ‘Dataism’.
As we’ve been banging on about for some time, ensuring privacy and security are key to the ongoing acceptance and success of big data. But it’s been very hard for businesses to find a simple, comprehensive guide that outlines the steps an organization must work through to ensure its big data systems and initiatives effectively minimize the risk of any breaches. Fortunately, the Cloud Security Alliance (CSA)’s Big Data Security and Privacy Handbook, published at the end of August, could be just what’s needed.
If your organization is considering a transformation to your IT Security, consider some detailed planning before you get started. There are comprehensive Data Security analytics solutions available, but they will not help your organization unless you compile a highly accurate picture of your current security and IT landscape.
The fight of the scientific titans: the never-ending debate about climate change. But are the big names in politics and space travel (you know who) manipulating data? Another voice says big data will introduce the age of free renewable energy. But how, I hear you ask?