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?
Why organizational security is at a crossroads: organizations continue to develop. Business practise metamorphoses, then inevitably the accompanying tech infrastructure grows too. That’s great, except that many companies have never been able to plan their IT growth in every detail and this is becoming quite an issue.
The big data gold rush is prompting many companies to gather as much data as possible in the hope that it might be useful in future, but often those organizations already hold a treasure trove of useful data that they’re failing to make use of – so-called ‘dark data’.
With a record nine medals hauled in at the London 2012 Olympics, Team Great Britain’s rowers have a lot to live up to at Rio this month. As you’d expect, the team has been preparing rigorously in the run-up to the Olympic Games to ensure they’re at peak fitness. But their punishing training regime, much of it carried out at high altitude in the Swiss Alps, is not the only key factor in Olympic success. Today, the team must be equally fit when it comes to using big data analytics.