Archive for the ‘Big Data’ Category

Data crisis looms as Oracle warns of overload

By Matt Warman, Daily Telegraph Consumer Technology Editor

 

‘Exponential growth’ in data will cause a major problem for storage and processing, the President of Oracle has warned.

Mark Hurd said that “Data is growing exponentially – in some cases by 35% to 40% a year. This is causing big problems for our customers and tremendous economic pressure.”

He warned that growth in data demands from smartphones, laptops and sensors meant that by 2016 there would be three times as many devices connected to the internet as there are people on the planet and that there would be an 18-fold increase in mobile data traffic.

Where do you plan to keep all your data?

Big data means big storage. The problem is that too many businesses are outgrowing their data storage capacity and have little idea how to address the issue.

“The hottest technologies in the channel today are storage and backup – two products/services that essentially ensure mission-critical, archived and unstructured data can be called upon when needed,” said Larry Walsh on Channelomics.

Processing data is already big business. According to Deloitte, total enterprise software sales this year will top $270 billion, with approximately one-quarter of those sales going to Big Data, enterprise resource management and business intelligence.

Big Data means small data really

The amounts of data may be big, but the object is to find those small bits of real interest, writes Martin Banks.

It is an inevitable part of the groundswell of hype that grows up around any new technology development that to use it demand ripping out whatever old tried and trusted old technology is in place so the new technology can be exploited. So it was good to hear Oracle’s Senior Vice President of Database Server Technologies, Andy Mendelsohn stress that, when it comes to big data the word of the month is definitely `complementary’.

Questions on doing Big Data

The recent Oracle Big Data Summit in London started to go some way along the road of dispelling myths about this inevitably over-hyped subject, as well as providing some good pointers to answers that many businesses will be seeking right now.

Keynote speaker Mike Davis, Senior Analyst at Ovum, said one of the most important points is that the new technologies are complementary to existing tools, not alternatives. Some of the hype gets close to suggesting users face a `rip and replace’ watershed if they are to play in the Big Data space.

Is big data just a fad, or something much more profound?

By Jiyan Wei, BuildZoom

“The field of [big data] draws on findings from statistics, databases, and artificial intelligence to construct tools that let users gain insight from massive data sets.” – Michael Pazzani, Intelligent Systems.

Pazzani’s quote was originally published in February 1999 and did not reference big data; it referenced knowledge discovery and data mining (KDD). In the ’90s, there was considerable excitement around KDD, a new field of analysis that seemed poised to revolutionize the way we make decisions. Fast forward 15 years or so, and KDD is firmly entrenched within the plateau of productivity; it has profoundly changed the way that organizations and institutions answer questions.