Sentence examples for big data projects to from inspiring English sources

Only 15percentt of businesses in the survey reported deploying their big data projects to production.

Amazon Web Services (AWS) offers a complete set of infrastructure and application services that enable you to run virtually everything in the cloud: from enterprise applications and big data projects to social games and mobile apps.

Ironically, just as many enterprises complete their grand big data projects to build big data lakes, the rise of regulations that mandate consumer opt-in and consent for data processing will likely drain them of personal data — that is, if typical opt-in rates are anything to go by.

Failure can happen for many reasons, however there are a few glaring dangers that will cause any big data project to crash and burn.

Sixty four per cent of organisations worldwide say they are now investing in, or plan to invest in, big data projects, according to research firm Gartner.

An important first step in scoping out these big data projects is to calculate how much data you've got then multiply by a thousand.

One explanation is that big data projects seem to be receiving less spending priority than competing IT initiatives, said Nick Heudecker, Gartner research director.

There is a growing confluence of the interests of academic and commercial organizations in big data projects, leading to questions about ownership of the data and any benefits created, and about disposition of data if a firm goes out of business or is purchased.

It seems clear to me that issues of this magnitude — including business opportunities, data security, privacy, and others — are too big not to be discussed at the C-level, and that therefore any company or organization engaging in serious big data projects ought to have a chief data officer at the top, in charge of it all.

India's Aadhaar project is one of the world's most ambitious big data projects - aiming to collect, store and utilize biometric information from a population of over a billion people – so of course there are challenges, but also an incredible opportunity, says MapR, the company behind the technology.

To avoid being caught spending vast sums on half-vast results, CXOs would be wise to link a big-data project to the development of a rigorous metrics program — something like the Balanced Scorecard, which is more likely than CapEx or financial ROI to capture the full results of big-data applications downstream and across multiple process groups.