Sentence examples for big data projects in from inspiring English sources

As we discussed in last month's Editorial1, the focus on big data projects in neuroscience is bound to both increase the arsenal of sophisticated tools that the neuroscientist can use and create an avalanche of data that will be challenging to analyze.

About 30%% of companies were in the middle of launching big data projects in multiple functional cases, and another 45%% was actively considering to invest by 2014.

We define three business domains, CUST, SUPPLY, COMP, which are worth 1, 0 otherwise, if the company has launched big data projects in the related domains.

Sachdeva et al. [36] combined a hybrid TOPSIS method with an intuitionistic fuzzy set to select appropriate cloud solutions to manage big data projects in a group decision-making environment.

Clearly domains play a role but what really matters is to invest in complementary input in big data projects in order to see a major shift in companies' overall performance trajectory.

With nearly 44% of firms investing more than $50 million into big data projects in the six years we've been running the survey, it's clear that enterprises are embracing Big Data even as their employees may not be.

Using the SoftLayer cloud infrastructure integrated with its existing IT, Delhaize America was able to deploy the Big Data project in less than two weeks versus several months.

Ravel Law has also undertaken an ambitious Big Data project in cooperation with Harvard Law School, which aims to digitize the faculty's entire US case law library – the country's largest outside the Library of Congress – and make it available to anyone, online, for free by 2017.

"It was a people problem". Databricks calls its solution a "unified analytics platform," and what it functions as is a shared workspace for different types of employees to work together on big data projects including in AI.

While it seems obvious to engage with business teams — "the business guys defined the scope; isn't that enough?" — far too often big data projects get lost in the weeds of the science, statistics and technology.

Likewise, we have already reported that a set of telecom companies have chosen to launch big data projects without major change in either their existing IT infrastructure, or in their existing set of applications and/or servers.