Paris: city of love, art and, of course, analytics. Well, at least for the duration of this episode of The Real Big Data’s podcast, The Voice of Big Data. Because this edition of the podcast is all about defining big data analytics and how it’s overturning the business world, flying in the face of traditional IT infrastructure strategies.
My guests for this episode, helping me wade through the exciting and revolutionary world of analytics, are both from Squid Solutions: CEO Adrien Schmidt and SVP of Business Development John Broadhurst.
Are you looking for big data events and news? Then you’ve come to the right place. This week we’ve got details of more big data conferences and events taking place all across Europe, breaking stories about the role of big data in predicting crime, helping victims of Hurricane Sandy, and the legal and architectural challenges the industry faces, and all the lastest visualisations from The Human Face of Big Data campaign. We’d love to hear your thoughts on all of this, so leave us a comment at the bottom of the page.
I was fascinated to read recently that analysts at Gartner have reported on the nature of hype in the IT market. (Yes, my plane journey was that dull.) They looked specifically at cloud computing and the various technologies and services that are related to it.
Researchers have actually developed a life cycle which reflects the current state of particular buzzwords, such as big data and the cloud, and then considers which point on the scale a technology has reached and what the future might hold for it.
Big Data and the Cloud: Should You Believe the Hype?
At the moment, Gartner believes that big data is one of the most heavily publicised and talked-about technologies, both in terms of expectations and what it can actually deliver. So that’s reassuring, since I work in that field.
Interestingly, if big data follows the standard life cycle then this peak will followed by a trough, during which time expectations are adjusted and realities assessed as businesses and users acclimatise to the actual capabilities of a previously over-hyped platform or service. Don’t believe me? Well, think back to the great dreams of Java (write once, deploy everywhere – remember that?)
Will future historians look back and note that this was the decade the big data floodgates blew wide open? 90 percent of the world’s data has been created in the last two years, so why wouldn’t this be seen as the time the tide swelled and the wave of big data surged forward? IT managers, faced with the prospect of their company adopting a big data strategy, are having to think about ways of dealing with this torrent of multi-structured data sets and don’t have the benefit of hindsight. This is something real; something they’re having to think about every day. And how IT managers react to this oncoming big data wave will decide whether they sink, swim or ride it all the way towards glory (well, glory within the confines of their company and wider industry — but glory nevertheless).
The huge volumes of information people are creating and storing digitally, and the data that is subsequently generated from that information, is changing the face of business today. A gigabyte of stored data can generate more than a petabyte of related data, and companies that are able to extract value from this are in a powerful position to drive growth.
The wave of big data could possibly wash away businesses unprepared for it, so we’ve put together a primer for IT managers — something that you can cut out and keep, or pass on to your colleagues.
Websites, newspapers, pubs: big data is being talked about everywhere. And, in this episode of The Voice of Big Data, it’s being talked about in the back of a taxi travelling across the cobbled streets of Brussels.
And what better place to discuss some of the pressing issues surrounding big data today, including Europe’s reaction to big data; fast big data, or fast data, the next generation of big data; and big data in sport.
It’s a bumpy ride, but it’s worth coming along. Listen to the podcast below and submit your questions to the firstname.lastname@example.org or leave a comment here on The Real Big Data site itself.